iPad Pro 13-inch (M4)
Geekbench AI Score
4719
Single Precision Score
7826
Half Precision Score
6286
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 09:59 PM |
| 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 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% |
1997
371.4 IPS |
|
|
Image Classification (HP)
|
100% |
3343
621.8 IPS |
|
|
Image Classification (Q)
|
96% |
2301
429.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3303
53.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3650
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10041
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19058
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16457
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2214
175.6 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
3990
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7763
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4478
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8296
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14683
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10196
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25034
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37883
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31363
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5852
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6806
251.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4838
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
3037
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5416
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5423
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3921
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6804
117.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6888
119.0 IPS |
