Mac16,1
Geekbench AI Score
4695
Single Precision Score
7739
Half Precision Score
6190
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | angelsherwin |
| Upload Date | November 05 2024 03:25 PM |
| Views | 13 |
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% |
1985
369.2 IPS |
|
|
Image Classification (HP)
|
100% |
3286
611.1 IPS |
|
|
Image Classification (Q)
|
96% |
2222
415.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3227
52.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3581
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10054
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19031
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16483
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2288
181.5 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2716
216.5 IPS |
|
|
Face Detection (SP)
|
100% |
3891
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7400
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
4212
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8183
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14427
111.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10051
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25107
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38564
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31546
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5839
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6752
249.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4808
177.5 IPS |
|
|
Text Classification (SP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5282
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5355
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3873
66.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6829
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6752
116.7 IPS |
