Mac mini (2023)
Geekbench AI Score
2107
Single Precision Score
14921
Half Precision Score
16586
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Meddog |
| Upload Date | March 27 2025 03:42 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.7.4 (Build 23H420) |
| 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 | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1103
205.2 IPS |
|
|
Image Classification (HP)
|
100% |
7572
1.41 KIPS |
|
|
Image Classification (Q)
|
96% |
8038
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5103
82.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8686
140.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11133
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
92826
108.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
87300
102.3 IPS |
|
|
Object Detection (SP)
|
100% |
1184
94.0 IPS |
|
|
Object Detection (HP)
|
99% |
9139
727.0 IPS |
|
|
Object Detection (Q)
|
93% |
9971
795.6 IPS |
|
|
Face Detection (SP)
|
100% |
1913
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
11642
138.3 IPS |
|
|
Face Detection (Q)
|
100% |
12378
147.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3881
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
55541
427.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
66918
522.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13101
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
145636
187.2 IPS |
|
|
Style Transfer (Q)
|
95% |
133245
172.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2078
76.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20525
757.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27624
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
428
570.9 IPS |
|
|
Text Classification (HP)
|
100% |
3870
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3837
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1940
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2232
38.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2217
38.3 IPS |
