iPad Pro 11-inch (M4)
Geekbench AI Score
4865
Single Precision Score
36745
Half Precision Score
52227
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 08:38 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2087
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
17531
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
27593
5.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22437
363.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30993
502.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9963
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122925
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232494
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2427
192.5 IPS |
|
|
Object Detection (HP)
|
100% |
17941
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25482
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4266
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
42311
502.7 IPS |
|
|
Face Detection (Q)
|
100% |
62797
746.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8492
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98712
760.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
163892
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24345
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
235634
302.9 IPS |
|
|
Style Transfer (Q)
|
96% |
321979
415.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5994
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50668
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84846
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6259
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5791
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3510
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16574
285.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18306
316.4 IPS |
