iPad Pro 11-inch (M4)
Geekbench AI Score
5096
Single Precision Score
8408
Half Precision Score
6712
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 05 2026 08:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2124
395.0 IPS |
|
|
Image Classification (HP)
|
100% |
3399
632.1 IPS |
|
|
Image Classification (Q)
|
96% |
2356
440.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3207
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3548
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8817
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19445
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16646
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2470
195.9 IPS |
|
|
Object Detection (HP)
|
97% |
3829
304.8 IPS |
|
|
Object Detection (Q)
|
94% |
2712
216.1 IPS |
|
|
Face Detection (SP)
|
100% |
4527
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
7754
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4426
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8179
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14113
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9933
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22799
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39017
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31901
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5260
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7035
259.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4905
181.1 IPS |
|
|
Text Classification (SP)
|
100% |
6137
8.19 KIPS |
|
|
Text Classification (HP)
|
100% |
9655
12.9 KIPS |
|
|
Text Classification (Q)
|
93% |
9358
12.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
4378
75.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7507
129.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7646
132.1 IPS |
