iPad Pro 11-inch (M4)
Geekbench AI Score
4964
Single Precision Score
36272
Half Precision Score
51172
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 09:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2088
388.2 IPS |
|
|
Image Classification (HP)
|
100% |
16759
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
23254
4.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22607
366.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31114
504.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10047
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122846
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
233268
273.4 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (HP)
|
100% |
18128
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25899
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4278
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
42263
502.2 IPS |
|
|
Face Detection (Q)
|
100% |
62065
737.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8506
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99058
763.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
164519
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24527
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
232168
298.5 IPS |
|
|
Style Transfer (Q)
|
96% |
320729
413.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6094
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51265
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83216
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3312
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5602
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5629
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4602
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16741
288.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18361
317.3 IPS |