iPad Pro 13-inch (M4)
Geekbench AI Score
4738
Single Precision Score
7817
Half Precision Score
6287
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | TSMusik |
| Upload Date | January 29 2025 04:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2009
373.7 IPS |
|
|
Image Classification (HP)
|
100% |
3342
621.5 IPS |
|
|
Image Classification (Q)
|
96% |
2335
436.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3329
54.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3669
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10050
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19130
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16485
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2254
178.8 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.4 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4006
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7789
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
4478
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8321
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14719
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10183
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25144
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37932
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31490
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5884
217.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6838
252.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4834
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5195
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5328
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3949
68.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6827
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6862
118.6 IPS |
