Mac mini (2023)
Geekbench AI Score
4059
Single Precision Score
6618
Half Precision Score
5232
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cvgb |
| Upload Date | May 06 2025 12:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1359
252.7 IPS |
|
|
Image Classification (HP)
|
100% |
2220
412.9 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1669
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2533
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2942
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12606
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24476
28.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
18899
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
1661
131.7 IPS |
|
|
Object Detection (HP)
|
97% |
2659
211.7 IPS |
|
|
Object Detection (Q)
|
94% |
1983
158.0 IPS |
|
|
Face Detection (SP)
|
100% |
3436
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
5527
65.7 IPS |
|
|
Face Detection (Q)
|
100% |
3390
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6283
48.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12181
94.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8061
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24794
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38108
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28875
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5054
186.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6858
253.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4431
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3987
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3990
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4049
69.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6285
108.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6148
106.2 IPS |
