iPad Pro 13-inch (M4)
Geekbench AI Score
4919
Single Precision Score
8015
Half Precision Score
6420
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 11:51 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 | iPad16,6 |
| Motherboard | J721AP |
| 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% |
2118
394.0 IPS |
|
|
Image Classification (HP)
|
100% |
3360
624.8 IPS |
|
|
Image Classification (Q)
|
96% |
2360
440.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3205
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3546
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10014
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19469
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16620
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2431
192.9 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2708
215.9 IPS |
|
|
Face Detection (SP)
|
100% |
4222
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7698
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4436
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8519
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14070
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9929
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24146
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38708
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31827
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6037
222.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7261
268.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5007
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5645
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5632
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4514
77.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8009
138.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7992
138.1 IPS |
