iPad Pro 13-inch (M4)
Geekbench AI Score
4838
Single Precision Score
7965
Half Precision Score
6332
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 04:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2061
383.4 IPS |
|
|
Image Classification (HP)
|
100% |
3341
621.4 IPS |
|
|
Image Classification (Q)
|
96% |
2315
432.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2200
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3260
52.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3579
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10063
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19516
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16681
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2413
191.4 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2688
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
4328
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
7758
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4432
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8615
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14544
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10174
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21711
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38304
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31565
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6125
226.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7243
267.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5092
188.0 IPS |
|
|
Text Classification (SP)
|
100% |
2911
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5682
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5415
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4426
76.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7120
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7115
123.0 IPS |
