Mac16,1
Geekbench AI Score
4766
Single Precision Score
7819
Half Precision Score
6333
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 05:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| 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% |
2027
376.9 IPS |
|
|
Image Classification (HP)
|
100% |
3300
613.7 IPS |
|
|
Image Classification (Q)
|
96% |
2328
434.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3381
54.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3765
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10025
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18938
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16573
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.1 IPS |
|
|
Object Detection (HP)
|
97% |
3828
304.8 IPS |
|
|
Object Detection (Q)
|
94% |
2755
219.6 IPS |
|
|
Face Detection (SP)
|
100% |
3950
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7546
89.7 IPS |
|
|
Face Detection (Q)
|
100% |
4471
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8331
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14779
114.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10286
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25355
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38529
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31829
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5849
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6648
245.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4802
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
3060
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5404
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5439
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6845
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6789
117.3 IPS |
