Mac mini (Late 2020)
Geekbench AI Score
3120
Single Precision Score
5130
Half Precision Score
4543
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | fo0barorg |
| Upload Date | August 16 2024 06:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| Model | Mac mini (Late 2020) |
| Model ID | Macmini9,1 |
| Motherboard | Macmini9,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
2171
403.7 IPS |
|
|
Image Classification (Q)
|
99% |
2161
403.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
2053
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6241
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
13802
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
11785
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1486
117.9 IPS |
|
|
Object Detection (HP)
|
97% |
2395
190.7 IPS |
|
|
Object Detection (Q)
|
94% |
1781
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
2878
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
5276
62.7 IPS |
|
|
Face Detection (Q)
|
100% |
3152
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5631
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10628
82.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
10587
81.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16652
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26138
33.6 IPS |
|
|
Style Transfer (Q)
|
100% |
26143
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3699
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4499
166.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3293
122.0 IPS |
|
|
Text Classification (SP)
|
100% |
2251
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3672
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3818
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3351
57.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3673
63.5 IPS |
