iPad Pro 13-inch (M4)
Geekbench AI Score
4958
Single Precision Score
8063
Half Precision Score
6458
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Kurtp |
| Upload Date | December 02 2025 11:25 AM |
| Views | 4 |
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, 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% |
2123
394.7 IPS |
|
|
Image Classification (HP)
|
100% |
3389
630.3 IPS |
|
|
Image Classification (Q)
|
96% |
2359
440.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3247
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3605
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10048
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19471
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16655
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
97% |
3800
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2703
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
4274
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
7759
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4442
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8551
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14129
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9934
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24390
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38796
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31794
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6040
223.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7083
261.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4980
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3228
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5880
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5852
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4564
78.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8059
139.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8072
139.5 IPS |
