iPad Pro 13-inch (M4)
Geekbench AI Score
4731
Single Precision Score
7890
Half Precision Score
6291
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | richh- |
| Upload Date | January 01 2025 02:04 AM |
| Views | 2 |
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 | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
3334
620.1 IPS |
|
|
Image Classification (Q)
|
96% |
2329
435.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3369
54.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3626
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10009
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19103
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16478
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2247
178.2 IPS |
|
|
Object Detection (HP)
|
97% |
3837
305.5 IPS |
|
|
Object Detection (Q)
|
94% |
2691
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
3948
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7705
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
4447
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8305
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14694
113.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10224
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25155
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38245
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31537
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5846
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6872
253.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4848
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
3116
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
5533
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5415
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3905
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6903
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6899
119.2 IPS |
