Mac16,10
Geekbench AI Score
4751
Single Precision Score
7824
Half Precision Score
6331
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 10:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2049
381.0 IPS |
|
|
Image Classification (HP)
|
100% |
3279
609.7 IPS |
|
|
Image Classification (Q)
|
96% |
2304
430.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3232
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3686
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10018
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19041
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16582
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2299
182.4 IPS |
|
|
Object Detection (HP)
|
97% |
3827
304.7 IPS |
|
|
Object Detection (Q)
|
94% |
2736
218.1 IPS |
|
|
Face Detection (SP)
|
100% |
3966
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7522
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4477
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8379
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14831
114.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10321
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25413
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38607
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32031
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5788
213.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6736
248.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4783
176.6 IPS |
|
|
Text Classification (SP)
|
100% |
3055
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5492
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5459
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3902
67.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6988
120.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6951
120.1 IPS |
