Mac16,12
Geekbench AI Score
4863
Single Precision Score
7935
Half Precision Score
6378
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | edsvo |
| Upload Date | August 22 2025 10:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| 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% |
2123
394.8 IPS |
|
|
Image Classification (HP)
|
100% |
3323
618.0 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3157
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3627
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10056
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19475
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16687
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
97% |
3795
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
4320
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
7602
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4484
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8666
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14683
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10321
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21674
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38575
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31908
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6129
226.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7290
269.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5019
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
3027
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5438
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5431
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4396
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7481
129.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7346
126.9 IPS |
