Mac mini (2023)
Geekbench AI Score
3501
Single Precision Score
6020
Half Precision Score
4897
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ls0775 |
| Upload Date | March 22 2025 03:57 AM |
| Views | 10 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1411
262.5 IPS |
|
|
Image Classification (HP)
|
100% |
2543
472.8 IPS |
|
|
Image Classification (Q)
|
96% |
1780
332.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2885
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6899
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
15006
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13021
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2907
231.5 IPS |
|
|
Object Detection (Q)
|
94% |
2099
167.3 IPS |
|
|
Face Detection (SP)
|
100% |
3198
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6227
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
3612
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5821
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11856
91.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8230
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18832
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28627
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23988
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4135
152.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4887
180.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3660
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3790
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3771
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3567
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5810
100.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5742
99.2 IPS |
