Mac16,10
Geekbench AI Score
4735
Single Precision Score
7826
Half Precision Score
6301
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | sampatel |
| Upload Date | November 16 2024 06:25 AM |
| Views | 12 |
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% |
2036
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
3284
610.7 IPS |
|
|
Image Classification (Q)
|
96% |
2308
430.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3221
52.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3634
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10072
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19064
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16585
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2309
183.1 IPS |
|
|
Object Detection (HP)
|
97% |
3777
300.7 IPS |
|
|
Object Detection (Q)
|
94% |
2741
218.5 IPS |
|
|
Face Detection (SP)
|
100% |
4002
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7672
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4477
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8366
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14846
114.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10367
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25436
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38490
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32043
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5772
213.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6826
252.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4784
176.6 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5428
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5255
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3877
66.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6966
120.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6924
119.7 IPS |
