Mac16,10
Geekbench AI Score
4740
Single Precision Score
7790
Half Precision Score
6291
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Qetesh |
| Upload Date | November 20 2024 01:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
2043
379.9 IPS |
|
|
Image Classification (HP)
|
100% |
3278
609.6 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3213
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3628
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10022
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19003
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16565
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2291
181.7 IPS |
|
|
Object Detection (HP)
|
97% |
3791
301.8 IPS |
|
|
Object Detection (Q)
|
94% |
2734
218.0 IPS |
|
|
Face Detection (SP)
|
100% |
4033
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
7709
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
4493
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8382
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14797
114.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10360
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25334
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38394
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31942
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5754
212.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6821
251.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4772
176.2 IPS |
|
|
Text Classification (SP)
|
100% |
3009
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5324
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5235
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3919
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6826
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6843
118.3 IPS |
