iPad Pro 13-inch (M4)
Geekbench AI Score
2670
Single Precision Score
4353
Half Precision Score
3415
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 30 2025 11:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1104
205.3 IPS |
|
|
Image Classification (HP)
|
100% |
1800
334.8 IPS |
|
|
Image Classification (Q)
|
96% |
1204
224.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1890
30.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1898
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5631
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
10425
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8880
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (HP)
|
97% |
2034
162.0 IPS |
|
|
Object Detection (Q)
|
94% |
1427
113.7 IPS |
|
|
Face Detection (SP)
|
100% |
2282
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
4072
48.4 IPS |
|
|
Face Detection (Q)
|
100% |
2302
27.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4660
35.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
7821
60.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
5405
42.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11896
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20694
26.6 IPS |
|
|
Style Transfer (Q)
|
96% |
16926
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3405
125.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3975
146.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2750
101.5 IPS |
|
|
Text Classification (SP)
|
100% |
1738
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2940
3.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2592
44.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4370
75.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4382
75.7 IPS |
