Mac mini (Late 2020)
Geekbench AI Score
2488
Single Precision Score
3836
Half Precision Score
3193
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ivan1950 |
| Upload Date | August 18 2024 08:14 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.11 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1170
217.6 IPS |
|
|
Image Classification (HP)
|
100% |
1470
273.3 IPS |
|
|
Image Classification (Q)
|
99% |
1420
264.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1015
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1069
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5867
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
13542
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11568
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1394
110.5 IPS |
|
|
Object Detection (HP)
|
97% |
1940
154.5 IPS |
|
|
Object Detection (Q)
|
94% |
1403
111.8 IPS |
|
|
Face Detection (SP)
|
100% |
1751
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
3373
40.1 IPS |
|
|
Face Detection (Q)
|
100% |
2238
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4365
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7314
56.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
3407
26.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13302
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22767
29.3 IPS |
|
|
Style Transfer (Q)
|
100% |
22719
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2730
100.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3855
142.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3053
113.1 IPS |
|
|
Text Classification (SP)
|
100% |
2178
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3527
4.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1549
26.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2369
40.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2404
41.5 IPS |
