iPad Pro 13-inch (M4)
Geekbench AI Score
4809
Single Precision Score
7910
Half Precision Score
6304
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 10 2025 05:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2063
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
3356
624.0 IPS |
|
|
Image Classification (Q)
|
96% |
2291
427.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3227
52.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3553
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9971
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19460
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16638
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2414
191.5 IPS |
|
|
Object Detection (HP)
|
97% |
3825
304.5 IPS |
|
|
Object Detection (Q)
|
94% |
2691
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
4255
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7774
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
4403
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8574
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14492
112.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10074
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21752
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38448
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31557
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6044
223.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7262
268.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5125
189.2 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5321
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5255
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4386
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7115
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7220
124.8 IPS |
