Mac mini (2023)
Geekbench AI Score
8746
Single Precision Score
8366
Half Precision Score
7467
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | mutantlog |
| Upload Date | August 21 2024 05:02 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4917
914.5 IPS |
|
|
Image Classification (HP)
|
100% |
5041
937.4 IPS |
|
|
Image Classification (Q)
|
99% |
4463
832.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7128
115.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7130
115.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
6935
112.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
36783
42.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
39009
45.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
35091
41.1 IPS |
|
|
Object Detection (SP)
|
100% |
4627
367.1 IPS |
|
|
Object Detection (HP)
|
100% |
4695
372.4 IPS |
|
|
Object Detection (Q)
|
92% |
3838
306.4 IPS |
|
|
Face Detection (SP)
|
100% |
15322
182.1 IPS |
|
|
Face Detection (HP)
|
100% |
15736
187.0 IPS |
|
|
Face Detection (Q)
|
100% |
10943
130.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23635
182.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24188
186.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
24128
186.6 IPS |
|
|
Style Transfer (SP)
|
100% |
68026
87.4 IPS |
|
|
Style Transfer (HP)
|
100% |
73844
94.9 IPS |
|
|
Style Transfer (Q)
|
100% |
73316
94.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13239
488.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14220
525.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10331
382.8 IPS |
|
|
Text Classification (SP)
|
100% |
1202
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
567
757.0 IPS |
|
|
Text Classification (Q)
|
93% |
564
757.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1120
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1127
19.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1147
19.8 IPS |
