Mac mini (2023)
Geekbench AI Score
5879
Single Precision Score
6476
Half Precision Score
5714
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | rgba |
| Upload Date | August 16 2024 10:17 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3481
647.3 IPS |
|
|
Image Classification (HP)
|
100% |
3455
642.6 IPS |
|
|
Image Classification (Q)
|
99% |
3122
582.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3997
64.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4908
79.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
4770
77.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24546
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26153
30.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23567
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
3552
281.8 IPS |
|
|
Object Detection (HP)
|
100% |
3594
285.1 IPS |
|
|
Object Detection (Q)
|
92% |
2810
224.3 IPS |
|
|
Face Detection (SP)
|
100% |
9861
117.2 IPS |
|
|
Face Detection (HP)
|
100% |
11346
134.8 IPS |
|
|
Face Detection (Q)
|
100% |
7609
90.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16628
128.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17691
136.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
17648
136.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42872
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48307
62.1 IPS |
|
|
Style Transfer (Q)
|
100% |
48028
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9498
350.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10164
375.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7665
284.0 IPS |
|
|
Text Classification (SP)
|
100% |
422
562.8 IPS |
|
|
Text Classification (HP)
|
100% |
533
711.5 IPS |
|
|
Text Classification (Q)
|
93% |
529
710.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1551
26.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1441
24.9 IPS |
