Mac16,10
Geekbench AI Score
8486
Single Precision Score
10215
Half Precision Score
9279
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 07:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4613
857.8 IPS |
|
|
Image Classification (HP)
|
100% |
4940
918.8 IPS |
|
|
Image Classification (Q)
|
97% |
4292
800.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4758
77.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6918
112.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7565
122.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29431
34.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31700
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
30210
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4916
389.9 IPS |
|
|
Object Detection (HP)
|
100% |
5379
426.7 IPS |
|
|
Object Detection (Q)
|
91% |
4604
367.9 IPS |
|
|
Face Detection (SP)
|
100% |
12555
149.2 IPS |
|
|
Face Detection (HP)
|
100% |
16276
193.4 IPS |
|
|
Face Detection (Q)
|
100% |
12156
144.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21142
162.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23605
181.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
19768
154.5 IPS |
|
|
Style Transfer (SP)
|
100% |
57892
74.4 IPS |
|
|
Style Transfer (HP)
|
100% |
70992
91.3 IPS |
|
|
Style Transfer (Q)
|
96% |
66615
86.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12375
456.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13323
491.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10651
393.3 IPS |
|
|
Text Classification (SP)
|
100% |
3090
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5435
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5446
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1129
19.5 IPS |
