Mac16,10
Geekbench AI Score
4735
Single Precision Score
7834
Half Precision Score
6346
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Jakub007 |
| Upload Date | November 19 2024 10:21 PM |
| Views | 5 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2047
380.6 IPS |
|
|
Image Classification (HP)
|
100% |
3293
612.4 IPS |
|
|
Image Classification (Q)
|
96% |
2313
431.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3187
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3656
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10042
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19043
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16602
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2303
182.7 IPS |
|
|
Object Detection (HP)
|
97% |
3820
304.1 IPS |
|
|
Object Detection (Q)
|
94% |
2754
219.6 IPS |
|
|
Face Detection (SP)
|
100% |
3987
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7556
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
4452
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8431
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14861
114.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10400
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25422
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38421
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32014
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5769
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6863
253.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4776
176.3 IPS |
|
|
Text Classification (SP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5565
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5555
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3865
66.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6929
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6977
120.6 IPS |
