iPad Pro 13-inch (M4)
Geekbench AI Score
4724
Single Precision Score
7860
Half Precision Score
6312
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | December 10 2024 04:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2003
372.4 IPS |
|
|
Image Classification (HP)
|
100% |
3310
615.5 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3352
54.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3699
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10029
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19091
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16492
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2215
175.7 IPS |
|
|
Object Detection (HP)
|
97% |
3778
300.8 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
4013
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
7816
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4511
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8305
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14662
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10237
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25210
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38249
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31676
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5847
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6777
250.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4832
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
3057
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5545
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5401
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3913
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6834
118.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6871
118.7 IPS |
