Mac16,10
Geekbench AI Score
4634
Single Precision Score
7664
Half Precision Score
6731
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | December 27 2024 10:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1963
365.1 IPS |
|
|
Image Classification (HP)
|
100% |
3282
610.3 IPS |
|
|
Image Classification (Q)
|
99% |
3252
606.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2041
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3211
52.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3215
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9674
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18919
22.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
16261
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2231
177.0 IPS |
|
|
Object Detection (HP)
|
97% |
3714
295.6 IPS |
|
|
Object Detection (Q)
|
94% |
2650
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
3792
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
7078
84.1 IPS |
|
|
Face Detection (Q)
|
100% |
4299
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8180
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14544
112.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
14678
113.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24888
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38317
49.3 IPS |
|
|
Style Transfer (Q)
|
100% |
38236
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5795
214.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6302
232.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4672
173.1 IPS |
|
|
Text Classification (SP)
|
100% |
3078
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5652
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5583
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3839
66.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6727
116.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6735
116.4 IPS |
