iPad Pro 13-inch (M4)
Geekbench AI Score
4835
Single Precision Score
7891
Half Precision Score
6322
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 04:34 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 | iPad16,6 |
| Motherboard | J721AP |
| 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% |
2056
382.3 IPS |
|
|
Image Classification (HP)
|
100% |
3325
618.3 IPS |
|
|
Image Classification (Q)
|
96% |
2308
430.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3236
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3572
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9953
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19427
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16612
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2404
190.7 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.4 IPS |
|
|
Object Detection (Q)
|
94% |
2691
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
4307
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
7711
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
4415
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8597
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14520
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10135
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21810
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38223
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31449
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6079
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7202
266.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5074
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5431
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5464
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4426
76.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7043
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7100
122.7 IPS |
