iPad Pro 13-inch (M4)
Geekbench AI Score
4473
Single Precision Score
6357
Half Precision Score
5429
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 13 2024 12:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 7.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1989
369.9 IPS |
|
|
Image Classification (HP)
|
100% |
2613
485.9 IPS |
|
|
Image Classification (Q)
|
96% |
1954
364.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2499
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9876
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18780
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16274
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2101
166.7 IPS |
|
|
Object Detection (HP)
|
97% |
3053
243.1 IPS |
|
|
Object Detection (Q)
|
94% |
2316
184.6 IPS |
|
|
Face Detection (SP)
|
100% |
3660
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
5856
69.6 IPS |
|
|
Face Detection (Q)
|
100% |
3760
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7628
58.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
11253
87.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8474
66.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23921
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35272
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29740
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5740
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6652
245.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4817
177.9 IPS |
|
|
Text Classification (SP)
|
100% |
3069
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5087
6.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5115
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3572
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5153
89.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5177
89.5 IPS |
