iPad Pro 11-inch (M4)
Geekbench AI Score
4941
Single Precision Score
8031
Half Precision Score
6425
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DmytroVlasenko |
| Upload Date | September 12 2025 01:17 AM |
| Views | 9 |
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 | iPad16,3 |
| Motherboard | J717AP |
| 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% |
2089
388.5 IPS |
|
|
Image Classification (HP)
|
100% |
3389
630.3 IPS |
|
|
Image Classification (Q)
|
96% |
2355
439.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3220
52.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3505
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10058
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19486
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16657
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
97% |
3831
305.0 IPS |
|
|
Object Detection (Q)
|
94% |
2704
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
4265
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
7599
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4369
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8490
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14047
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9861
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24405
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38691
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31776
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6067
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7215
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5038
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
3284
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5729
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5784
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4560
78.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8034
138.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8090
139.8 IPS |
