Mac mini (2023)
Geekbench AI Score
4144
Single Precision Score
26876
Half Precision Score
30032
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | AlexSwitch |
| Upload Date | March 10 2025 04:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1406
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
14308
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
16541
3.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1692
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19742
320.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23992
388.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12690
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
106342
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104225
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1680
133.3 IPS |
|
|
Object Detection (HP)
|
99% |
15152
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
16772
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3722
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
35172
417.9 IPS |
|
|
Face Detection (Q)
|
100% |
45286
538.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6333
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87743
676.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
109238
853.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25037
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203130
261.1 IPS |
|
|
Style Transfer (Q)
|
96% |
193094
249.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5099
188.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41104
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50441
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4024
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4319
74.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4147
71.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4438
76.7 IPS |
