Mac mini (2023)
Geekbench AI Score
3233
Single Precision Score
4829
Half Precision Score
4151
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | KD8UXA |
| Upload Date | December 05 2024 09:43 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.4 (Build 23E214) |
| 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 | 3.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1502
279.3 IPS |
|
|
Image Classification (HP)
|
100% |
1901
353.5 IPS |
|
|
Image Classification (Q)
|
96% |
1436
268.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1846
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6006
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14429
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12566
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2236
178.0 IPS |
|
|
Object Detection (Q)
|
94% |
1733
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
2811
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
4401
52.3 IPS |
|
|
Face Detection (Q)
|
100% |
2894
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5326
41.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
8701
67.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6544
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17346
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27181
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22778
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3665
135.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4979
183.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3644
134.6 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3649
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3528
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3131
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4588
79.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4745
82.0 IPS |
