Mac mini (2023)
Geekbench AI Score
3517
Single Precision Score
6036
Half Precision Score
4923
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | aboraged307 |
| Upload Date | March 28 2025 09:35 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
2545
473.3 IPS |
|
|
Image Classification (Q)
|
96% |
1781
332.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1548
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2484
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2888
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6918
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
15055
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13062
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
97% |
2916
232.1 IPS |
|
|
Object Detection (Q)
|
94% |
2104
167.7 IPS |
|
|
Face Detection (SP)
|
100% |
3192
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6236
74.1 IPS |
|
|
Face Detection (Q)
|
100% |
3616
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5833
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11897
92.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8265
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18862
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28718
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
24053
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4153
153.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4882
180.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3660
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
2334
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3841
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3828
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5798
100.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5885
101.7 IPS |
