Mac mini (2023)
Geekbench AI Score
8377
Single Precision Score
8233
Half Precision Score
7586
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 08:42 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
4767
886.5 IPS |
|
|
Image Classification (HP)
|
100% |
4860
903.9 IPS |
|
|
Image Classification (Q)
|
99% |
4351
811.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7219
117.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7245
117.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
6982
113.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
36457
42.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
38758
45.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
34874
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
4566
362.2 IPS |
|
|
Object Detection (HP)
|
100% |
4646
368.5 IPS |
|
|
Object Detection (Q)
|
92% |
3762
300.3 IPS |
|
|
Face Detection (SP)
|
100% |
15043
178.7 IPS |
|
|
Face Detection (HP)
|
100% |
15910
189.0 IPS |
|
|
Face Detection (Q)
|
100% |
10980
130.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23392
180.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24185
186.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
24161
186.8 IPS |
|
|
Style Transfer (SP)
|
100% |
67635
86.9 IPS |
|
|
Style Transfer (HP)
|
100% |
73230
94.1 IPS |
|
|
Style Transfer (Q)
|
100% |
72913
93.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13272
490.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14082
520.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10235
379.2 IPS |
|
|
Text Classification (SP)
|
100% |
977
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
563
751.4 IPS |
|
|
Text Classification (Q)
|
93% |
546
733.1 IPS |
|
|
Machine Translation (SP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1466
25.3 IPS |
