Mac mini (2023)
Geekbench AI Score
4175
Single Precision Score
6841
Half Precision Score
5340
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | austinwewn98 |
| Upload Date | February 19 2025 05:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.46 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1409
262.0 IPS |
|
|
Image Classification (HP)
|
100% |
2280
424.1 IPS |
|
|
Image Classification (Q)
|
96% |
1665
310.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1762
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2616
42.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2935
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12688
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
25514
29.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19207
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
1688
133.9 IPS |
|
|
Object Detection (HP)
|
97% |
2733
217.6 IPS |
|
|
Object Detection (Q)
|
94% |
1997
159.2 IPS |
|
|
Face Detection (SP)
|
100% |
3710
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
6008
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3482
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6453
49.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12288
95.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8256
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25085
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39686
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30569
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5135
189.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7166
264.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4498
166.1 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3995
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3974
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4289
73.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6436
111.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6411
110.8 IPS |
