iPad Pro 13-inch (M4)
Geekbench AI Score
6348
Single Precision Score
7656
Half Precision Score
7115
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 30 2025 11:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2935
545.9 IPS |
|
|
Image Classification (HP)
|
100% |
3247
603.9 IPS |
|
|
Image Classification (Q)
|
96% |
3604
673.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4975
80.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6486
105.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6255
101.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12785
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14698
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14351
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
3571
283.2 IPS |
|
|
Object Detection (HP)
|
100% |
3784
300.2 IPS |
|
|
Object Detection (Q)
|
92% |
3571
285.0 IPS |
|
|
Face Detection (SP)
|
100% |
10032
119.2 IPS |
|
|
Face Detection (HP)
|
100% |
11508
136.7 IPS |
|
|
Face Detection (Q)
|
100% |
10270
122.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15108
116.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18166
140.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
16976
132.7 IPS |
|
|
Style Transfer (SP)
|
100% |
36592
47.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49435
63.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39136
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9958
367.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10906
402.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9028
333.4 IPS |
|
|
Text Classification (SP)
|
100% |
1740
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2930
3.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1661
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1773
30.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1596
27.6 IPS |
