Mac16,10
Geekbench AI Score
4756
Single Precision Score
7829
Half Precision Score
6307
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jessefreeman |
| Upload Date | November 12 2024 09:31 PM |
| Views | 3 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2038
379.1 IPS |
|
|
Image Classification (HP)
|
100% |
3303
614.3 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3238
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3673
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10050
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19047
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16565
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2294
182.0 IPS |
|
|
Object Detection (HP)
|
97% |
3816
303.8 IPS |
|
|
Object Detection (Q)
|
94% |
2735
218.0 IPS |
|
|
Face Detection (SP)
|
100% |
3994
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
7606
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
4428
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8364
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14838
114.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10347
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25321
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38531
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31945
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5789
213.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6754
249.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4779
176.5 IPS |
|
|
Text Classification (SP)
|
100% |
3085
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5469
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5329
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6936
119.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6910
119.4 IPS |
