Mac16,10
Geekbench AI Score
4729
Single Precision Score
7810
Half Precision Score
6341
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Blueturbos4 |
| Upload Date | December 25 2024 03:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2028
377.2 IPS |
|
|
Image Classification (HP)
|
100% |
3282
610.3 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3251
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3634
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10061
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19088
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16594
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2304
182.7 IPS |
|
|
Object Detection (HP)
|
97% |
3775
300.6 IPS |
|
|
Object Detection (Q)
|
94% |
2736
218.1 IPS |
|
|
Face Detection (SP)
|
100% |
3948
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7409
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
4457
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8313
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14692
113.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10291
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24935
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38716
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32069
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5734
211.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6886
254.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4801
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5363
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5464
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3916
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7061
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7107
122.8 IPS |
