Mac mini (2023)
Geekbench AI Score
2337
Single Precision Score
14956
Half Precision Score
15911
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | August 15 2024 05:52 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1093
203.2 IPS |
|
|
Image Classification (HP)
|
100% |
7987
1.49 KIPS |
|
|
Image Classification (Q)
|
99% |
8492
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5106
82.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
5156
83.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11308
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
92849
108.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
87419
102.5 IPS |
|
|
Object Detection (SP)
|
100% |
1277
101.3 IPS |
|
|
Object Detection (HP)
|
99% |
9128
726.1 IPS |
|
|
Object Detection (Q)
|
93% |
10019
799.4 IPS |
|
|
Face Detection (SP)
|
100% |
2083
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
10812
128.5 IPS |
|
|
Face Detection (Q)
|
100% |
13235
157.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3976
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
55407
426.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
59842
462.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13236
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
144620
185.9 IPS |
|
|
Style Transfer (Q)
|
100% |
146596
188.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2704
99.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20780
767.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27881
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
785
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3966
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3684
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1814
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2270
39.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2275
39.3 IPS |
