iPad Pro 13-inch (M4)
Geekbench AI Score
4914
Single Precision Score
7977
Half Precision Score
6371
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | September 15 2025 10:09 PM |
| Views | 4 |
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% |
2043
379.9 IPS |
|
|
Image Classification (HP)
|
100% |
3359
624.7 IPS |
|
|
Image Classification (Q)
|
96% |
2291
427.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3148
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3501
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9957
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19476
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16651
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2431
192.8 IPS |
|
|
Object Detection (HP)
|
97% |
3803
302.8 IPS |
|
|
Object Detection (Q)
|
94% |
2670
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
4232
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
7491
89.0 IPS |
|
|
Face Detection (Q)
|
100% |
4361
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8515
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13997
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9752
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24272
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38777
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31696
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5995
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7230
267.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5014
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5960
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5991
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4548
78.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7610
131.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7633
131.9 IPS |
