Mac mini (2023)
Geekbench AI Score
11046
Single Precision Score
12099
Half Precision Score
11273
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | YanYunsy |
| Upload Date | October 20 2025 01:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
5309
987.2 IPS |
|
|
Image Classification (HP)
|
100% |
5351
995.1 IPS |
|
|
Image Classification (Q)
|
96% |
4864
908.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
8172
132.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8196
132.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7780
126.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37184
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
40636
47.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
39275
46.0 IPS |
|
|
Object Detection (SP)
|
100% |
4806
381.2 IPS |
|
|
Object Detection (HP)
|
100% |
4902
388.9 IPS |
|
|
Object Detection (Q)
|
92% |
4517
360.6 IPS |
|
|
Face Detection (SP)
|
100% |
16975
201.7 IPS |
|
|
Face Detection (HP)
|
100% |
17660
209.8 IPS |
|
|
Face Detection (Q)
|
100% |
14949
177.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24125
185.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
25318
195.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
23049
180.0 IPS |
|
|
Style Transfer (SP)
|
100% |
68698
88.3 IPS |
|
|
Style Transfer (HP)
|
100% |
75593
97.2 IPS |
|
|
Style Transfer (Q)
|
96% |
74003
95.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13232
488.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14294
527.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12317
454.8 IPS |
|
|
Text Classification (SP)
|
100% |
2508
3.35 KIPS |
|
|
Text Classification (HP)
|
99% |
4109
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4087
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3738
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3876
66.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3847
66.5 IPS |
