Mac mini (2023)
Geekbench AI Score
4166
Single Precision Score
6744
Half Precision Score
5247
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jwchess |
| Upload Date | January 28 2025 02:20 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.36 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.2 IPS |
|
|
Image Classification (HP)
|
100% |
2258
419.9 IPS |
|
|
Image Classification (Q)
|
96% |
1651
308.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2495
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2828
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12607
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25188
29.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
19083
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.1 IPS |
|
|
Object Detection (HP)
|
97% |
2733
217.6 IPS |
|
|
Object Detection (Q)
|
94% |
1972
157.2 IPS |
|
|
Face Detection (SP)
|
100% |
3594
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
5854
69.6 IPS |
|
|
Face Detection (Q)
|
100% |
3425
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6262
48.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12010
92.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8031
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25093
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38703
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29775
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5147
190.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7143
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4477
165.3 IPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3993
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3972
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4505
77.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6466
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6184
106.9 IPS |
