Mac mini (2023)
Geekbench AI Score
4150
Single Precision Score
6691
Half Precision Score
5244
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | robroy114 |
| Upload Date | February 26 2025 05:25 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.43 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
2242
417.0 IPS |
|
|
Image Classification (Q)
|
96% |
1640
306.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2527
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2895
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12619
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24820
29.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
19441
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
1678
133.1 IPS |
|
|
Object Detection (HP)
|
97% |
2716
216.2 IPS |
|
|
Object Detection (Q)
|
94% |
1980
157.8 IPS |
|
|
Face Detection (SP)
|
100% |
3856
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
5852
69.5 IPS |
|
|
Face Detection (Q)
|
100% |
3362
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6396
49.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12335
95.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8110
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24969
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38976
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29374
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5067
187.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6912
255.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4402
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3942
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3927
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4327
74.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6149
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6221
107.5 IPS |
