iPad Pro 13-inch (M4)
Geekbench AI Score
4744
Single Precision Score
7849
Half Precision Score
6319
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 20 2025 10:30 PM |
| Views | 4 |
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 | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
3336
620.4 IPS |
|
|
Image Classification (Q)
|
96% |
2338
436.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3265
52.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3644
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10033
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19118
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16464
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2244
178.0 IPS |
|
|
Object Detection (HP)
|
97% |
3840
305.7 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
3976
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7712
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
4474
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8296
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14634
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10179
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25236
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38204
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31504
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5885
217.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6862
253.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4855
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
3131
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5429
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5583
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6915
119.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6915
119.5 IPS |
