Mac mini (2023)
Geekbench AI Score
3214
Single Precision Score
4749
Half Precision Score
3936
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 05:17 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1510
280.8 IPS |
|
|
Image Classification (HP)
|
100% |
1922
357.5 IPS |
|
|
Image Classification (Q)
|
99% |
1911
356.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1302
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6049
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
14519
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12344
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
97% |
2273
181.0 IPS |
|
|
Object Detection (Q)
|
94% |
1754
139.8 IPS |
|
|
Face Detection (SP)
|
100% |
2809
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
4335
51.5 IPS |
|
|
Face Detection (Q)
|
100% |
2813
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5322
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8659
66.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
4353
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17054
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26894
34.6 IPS |
|
|
Style Transfer (Q)
|
100% |
26838
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3586
132.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4800
177.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3492
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
2271
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3157
4.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3007
51.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4618
79.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4573
79.0 IPS |
