Mac mini (2023)
Geekbench AI Score
3313
Single Precision Score
5896
Half Precision Score
4829
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | bouresup |
| Upload Date | October 17 2025 03:31 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| Model | Mac mini (2023) |
| Model ID | Mac14,3 |
| Motherboard | Mac14,3 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1316
244.7 IPS |
|
|
Image Classification (HP)
|
100% |
2470
459.4 IPS |
|
|
Image Classification (Q)
|
96% |
1751
326.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2755
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6631
7.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
15008
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12949
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
97% |
2767
220.3 IPS |
|
|
Object Detection (Q)
|
94% |
2035
162.2 IPS |
|
|
Face Detection (SP)
|
100% |
2977
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5639
67.0 IPS |
|
|
Face Detection (Q)
|
100% |
3351
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5321
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10697
82.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7687
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17655
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28940
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24180
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3943
145.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5016
185.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3728
137.7 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4012
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3945
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3455
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5929
102.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5927
102.4 IPS |
