Mac mini (2023)
Geekbench AI Score
11085
Single Precision Score
12181
Half Precision Score
11356
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 22 2025 09:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
5311
987.8 IPS |
|
|
Image Classification (HP)
|
100% |
5370
998.6 IPS |
|
|
Image Classification (Q)
|
96% |
4959
926.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8487
137.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8435
136.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7972
129.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37204
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
39531
46.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
38148
44.7 IPS |
|
|
Object Detection (SP)
|
100% |
4974
394.6 IPS |
|
|
Object Detection (HP)
|
100% |
5085
403.3 IPS |
|
|
Object Detection (Q)
|
92% |
4704
375.5 IPS |
|
|
Face Detection (SP)
|
100% |
16891
200.7 IPS |
|
|
Face Detection (HP)
|
100% |
18197
216.2 IPS |
|
|
Face Detection (Q)
|
100% |
15030
178.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24550
189.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
25710
198.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
23279
182.0 IPS |
|
|
Style Transfer (SP)
|
100% |
69204
89.0 IPS |
|
|
Style Transfer (HP)
|
100% |
75073
96.5 IPS |
|
|
Style Transfer (Q)
|
96% |
73665
95.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13649
504.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14326
529.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12488
461.1 IPS |
|
|
Text Classification (SP)
|
100% |
2377
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4211
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4187
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3609
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3729
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3731
64.5 IPS |
