Mac mini (Late 2020)
Geekbench AI Score
2919
Single Precision Score
4971
Half Precision Score
4146
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 12 2025 01:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1310
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
2116
393.5 IPS |
|
|
Image Classification (Q)
|
96% |
1517
283.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2506
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6205
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
13361
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10421
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
97% |
2294
182.7 IPS |
|
|
Object Detection (Q)
|
94% |
1616
128.8 IPS |
|
|
Face Detection (SP)
|
100% |
2194
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
4237
50.3 IPS |
|
|
Face Detection (Q)
|
100% |
2952
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5285
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10509
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7129
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15285
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25318
32.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21783
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3503
129.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4538
167.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3308
122.1 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3995
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3998
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2177
37.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3244
56.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3873
66.9 IPS |
