Mac mini (2023)
Geekbench AI Score
3488
Single Precision Score
6009
Half Precision Score
4890
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | rgba |
| Upload Date | December 07 2024 04:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.2 IPS |
|
|
Image Classification (HP)
|
100% |
2551
474.3 IPS |
|
|
Image Classification (Q)
|
96% |
1781
332.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2887
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6923
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
15015
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13045
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2901
231.0 IPS |
|
|
Object Detection (Q)
|
94% |
2101
167.5 IPS |
|
|
Face Detection (SP)
|
100% |
3159
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6186
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
3561
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5762
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11878
91.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8253
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18826
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28704
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
24042
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4163
153.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4827
178.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3627
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3805
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3768
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3575
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5780
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5753
99.4 IPS |
