Mac mini (2023)
Geekbench AI Score
4041
Single Precision Score
6526
Half Precision Score
5542
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | umoms69 |
| Upload Date | September 27 2024 09:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1353
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
2198
408.8 IPS |
|
|
Image Classification (Q)
|
99% |
2171
404.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2465
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12578
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25130
29.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
18455
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
1653
131.2 IPS |
|
|
Object Detection (HP)
|
97% |
2630
209.4 IPS |
|
|
Object Detection (Q)
|
94% |
1920
153.0 IPS |
|
|
Face Detection (SP)
|
100% |
3504
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
5749
68.3 IPS |
|
|
Face Detection (Q)
|
100% |
3352
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6275
48.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11761
90.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
11498
88.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23870
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37298
47.9 IPS |
|
|
Style Transfer (Q)
|
100% |
37547
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4838
178.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6612
244.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4227
156.6 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3848
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3869
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4292
73.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6122
105.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6091
105.3 IPS |
