iPad Pro 13-inch (M4)
Geekbench AI Score
4959
Single Precision Score
8060
Half Precision Score
6449
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 06:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2114
393.1 IPS |
|
|
Image Classification (HP)
|
100% |
3388
630.0 IPS |
|
|
Image Classification (Q)
|
96% |
2340
437.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3188
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3551
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10072
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19510
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16630
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2434
193.1 IPS |
|
|
Object Detection (HP)
|
97% |
3831
305.0 IPS |
|
|
Object Detection (Q)
|
94% |
2706
215.7 IPS |
|
|
Face Detection (SP)
|
100% |
4288
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7678
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4412
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8547
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14116
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9940
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24460
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38795
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31807
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6092
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7124
263.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4991
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3221
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5908
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5971
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4616
79.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8099
139.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8005
138.3 IPS |
