iPad Pro 11-inch (M4)
Geekbench AI Score
4709
Single Precision Score
7852
Half Precision Score
6290
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 10:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1978
367.9 IPS |
|
|
Image Classification (HP)
|
100% |
3347
622.4 IPS |
|
|
Image Classification (Q)
|
96% |
2319
433.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3346
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3643
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10107
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19074
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16460
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2216
175.8 IPS |
|
|
Object Detection (HP)
|
97% |
3783
301.1 IPS |
|
|
Object Detection (Q)
|
94% |
2702
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7769
92.3 IPS |
|
|
Face Detection (Q)
|
100% |
4472
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8312
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14701
113.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10191
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25117
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37954
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31389
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5850
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6876
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4862
179.5 IPS |
|
|
Text Classification (SP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5424
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5424
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3919
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6824
117.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6844
118.3 IPS |
