Mac16,10
Geekbench AI Score
4747
Single Precision Score
7841
Half Precision Score
6329
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | January 05 2025 09:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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% |
3290
611.8 IPS |
|
|
Image Classification (Q)
|
96% |
2315
432.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3176
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3623
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9893
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19018
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16545
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2300
182.4 IPS |
|
|
Object Detection (HP)
|
97% |
3806
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2754
219.5 IPS |
|
|
Face Detection (SP)
|
100% |
4000
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
7632
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
4515
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8408
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14872
115.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10349
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25347
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38523
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32011
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5768
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6917
255.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4776
176.3 IPS |
|
|
Text Classification (SP)
|
100% |
3083
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5573
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5416
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3900
67.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6897
119.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6983
120.7 IPS |
