iPad Pro 13-inch (M4)
Geekbench AI Score
4940
Single Precision Score
8043
Half Precision Score
6448
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 01:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2107
391.9 IPS |
|
|
Image Classification (HP)
|
100% |
3368
626.3 IPS |
|
|
Image Classification (Q)
|
96% |
2343
437.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3197
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3529
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10025
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19451
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16640
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
97% |
3784
301.2 IPS |
|
|
Object Detection (Q)
|
94% |
2697
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
4272
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
7734
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4444
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8549
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14142
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9965
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24441
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38727
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31821
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6081
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7214
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4972
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5795
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5920
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4537
78.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8077
139.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8076
139.6 IPS |
