iPad Pro 13-inch (M4)
Geekbench AI Score
4986
Single Precision Score
37144
Half Precision Score
52377
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Deferare |
| Upload Date | December 30 2025 04:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2107
391.9 IPS |
|
|
Image Classification (HP)
|
100% |
18902
3.52 KIPS |
|
|
Image Classification (Q)
|
97% |
28183
5.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2254
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22465
364.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31357
508.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9974
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122942
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232581
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2476
196.4 IPS |
|
|
Object Detection (HP)
|
100% |
18141
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26057
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4381
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
43357
515.2 IPS |
|
|
Face Detection (Q)
|
100% |
62332
740.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8633
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99773
768.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
162155
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24298
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233687
300.4 IPS |
|
|
Style Transfer (Q)
|
96% |
322747
416.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5981
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52114
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82336
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5939
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5740
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4592
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16872
290.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18821
325.2 IPS |
