Mac mini AI - CPU (Sonoma 14.7.1) Mac mini (2023)
Geekbench AI Score
3166
Single Precision Score
4732
Half Precision Score
4078
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | MacXe4ro |
| Upload Date | December 11 2024 01:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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 | 3.46 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1472
273.8 IPS |
|
|
Image Classification (HP)
|
100% |
1823
339.1 IPS |
|
|
Image Classification (Q)
|
96% |
1447
270.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1840
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6198
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
14827
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12775
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.5 IPS |
|
|
Object Detection (HP)
|
97% |
2194
174.7 IPS |
|
|
Object Detection (Q)
|
94% |
1650
131.5 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
4404
52.3 IPS |
|
|
Face Detection (Q)
|
100% |
2881
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5465
42.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
8603
66.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6533
51.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16913
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26459
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22256
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3786
139.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4786
176.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3647
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (Q)
|
93% |
3354
4.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2280
39.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4538
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4431
76.6 IPS |
