Mac mini (2023)
Geekbench AI Score
4140
Single Precision Score
6716
Half Precision Score
5256
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Mojoxer |
| Upload Date | November 17 2024 06:05 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
2259
420.1 IPS |
|
|
Image Classification (Q)
|
96% |
1664
310.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2465
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2877
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12636
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25049
29.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
19120
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1690
134.0 IPS |
|
|
Object Detection (HP)
|
97% |
2713
216.0 IPS |
|
|
Object Detection (Q)
|
94% |
1969
156.9 IPS |
|
|
Face Detection (SP)
|
100% |
3577
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
5905
70.2 IPS |
|
|
Face Detection (Q)
|
100% |
3373
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6267
48.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12221
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8116
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25256
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39527
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30049
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5077
187.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6930
255.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4422
163.3 IPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3983
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3959
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4477
77.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6273
108.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6208
107.3 IPS |
