Mac mini M2 Pro Mac mini (2023)
Geekbench AI Score
4098
Single Precision Score
27073
Half Precision Score
30116
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | enroscado |
| Upload Date | April 29 2025 03:43 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
14311
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
16588
3.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19933
323.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24686
400.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12658
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
105800
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104178
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
99% |
15233
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17031
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3545
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
35455
421.3 IPS |
|
|
Face Detection (Q)
|
100% |
45279
538.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6213
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
88031
678.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
107980
843.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24672
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
203790
262.0 IPS |
|
|
Style Transfer (Q)
|
96% |
189364
244.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5071
187.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42317
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50395
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2364
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4133
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4112
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4348
74.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4137
71.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4403
76.1 IPS |
