Mac mini (2023)
Geekbench AI Score
4363
Single Precision Score
7079
Half Precision Score
6021
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | January 03 2025 09:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1491
277.2 IPS |
|
|
Image Classification (HP)
|
100% |
2413
448.8 IPS |
|
|
Image Classification (Q)
|
99% |
2402
448.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1848
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2738
44.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2725
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12830
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
25472
29.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
19666
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1806
143.2 IPS |
|
|
Object Detection (HP)
|
97% |
2933
233.5 IPS |
|
|
Object Detection (Q)
|
94% |
2112
168.4 IPS |
|
|
Face Detection (SP)
|
100% |
3773
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
6068
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3497
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6608
50.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12452
96.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
12456
96.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26578
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41237
53.0 IPS |
|
|
Style Transfer (Q)
|
100% |
41109
52.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5463
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7525
277.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4685
173.6 IPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4079
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4066
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4598
79.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6700
115.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6758
116.8 IPS |
