iPad Pro 13-inch (M4)
Geekbench AI Score
5021
Single Precision Score
8046
Half Precision Score
6415
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 03:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2084
387.5 IPS |
|
|
Image Classification (HP)
|
100% |
3376
627.8 IPS |
|
|
Image Classification (Q)
|
96% |
2334
435.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3179
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3555
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10069
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19472
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16672
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2394
189.9 IPS |
|
|
Object Detection (HP)
|
97% |
3822
304.3 IPS |
|
|
Object Detection (Q)
|
94% |
2693
214.6 IPS |
|
|
Face Detection (SP)
|
100% |
4232
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
7606
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
4387
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8534
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14081
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9922
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24428
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38737
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31722
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6076
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7125
263.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5013
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3840
5.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5936
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5695
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4596
79.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8118
140.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8040
138.9 IPS |
