Mac mini (2023)
Geekbench AI Score
8968
Single Precision Score
10005
Half Precision Score
8834
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Ricochet |
| Upload Date | October 16 2024 10:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5094
947.3 IPS |
|
|
Image Classification (HP)
|
100% |
5203
967.6 IPS |
|
|
Image Classification (Q)
|
97% |
4050
755.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7189
116.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7237
117.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7113
115.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37012
43.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
39481
46.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
36302
42.5 IPS |
|
|
Object Detection (SP)
|
100% |
4444
352.5 IPS |
|
|
Object Detection (HP)
|
100% |
5015
397.8 IPS |
|
|
Object Detection (Q)
|
91% |
4046
323.3 IPS |
|
|
Face Detection (SP)
|
100% |
15772
187.4 IPS |
|
|
Face Detection (HP)
|
100% |
17435
207.2 IPS |
|
|
Face Detection (Q)
|
100% |
12213
145.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
23991
184.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25072
193.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
19673
153.7 IPS |
|
|
Style Transfer (SP)
|
100% |
68558
88.1 IPS |
|
|
Style Transfer (HP)
|
100% |
74621
95.9 IPS |
|
|
Style Transfer (Q)
|
96% |
69661
89.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13418
495.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14162
523.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10702
395.2 IPS |
|
|
Text Classification (SP)
|
100% |
2334
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3977
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3967
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
688
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (Q)
|
98% |
963
16.6 IPS |
