iPad Pro 11-inch (M4)
Geekbench AI Score
4305
Single Precision Score
6592
Half Precision Score
5323
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 05:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
2031
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
3379
628.3 IPS |
|
|
Image Classification (Q)
|
96% |
2255
421.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1498
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3098
50.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3470
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8992
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17792
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16291
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1732
137.4 IPS |
|
|
Object Detection (HP)
|
97% |
3785
301.3 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
3351
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
7341
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4289
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8395
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
10203
78.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6946
54.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22887
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37849
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
25205
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4842
178.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1789
66.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4979
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3331
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5873
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5707
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4449
76.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7384
127.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2523
43.6 IPS |
