iPad Pro 13-inch (M4)
Geekbench AI Score
4889
Single Precision Score
8011
Half Precision Score
6364
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 05:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2086
387.9 IPS |
|
|
Image Classification (HP)
|
100% |
3443
640.3 IPS |
|
|
Image Classification (Q)
|
96% |
2305
430.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3177
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3504
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10134
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19500
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16643
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2432
192.9 IPS |
|
|
Object Detection (HP)
|
97% |
3836
305.4 IPS |
|
|
Object Detection (Q)
|
94% |
2691
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
4295
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7684
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4408
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8493
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14083
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9842
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24330
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39419
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32285
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6014
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7150
264.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5009
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5518
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5399
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4557
78.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7912
136.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7960
137.6 IPS |
