iPad Pro 13-inch (M4)
Geekbench AI Score
4716
Single Precision Score
36730
Half Precision Score
51786
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | March 26 2025 10:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
17747
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
25978
4.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22024
357.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30237
490.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10064
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123346
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232234
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2248
178.3 IPS |
|
|
Object Detection (HP)
|
100% |
18185
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25271
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
3993
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
42868
509.4 IPS |
|
|
Face Detection (Q)
|
100% |
62469
742.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8318
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98673
760.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
166374
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
25064
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232422
298.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298416
385.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5827
215.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49818
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83910
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6425
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6518
8.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3894
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16200
279.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17740
306.6 IPS |
