Mac mini (Late 2020)
Geekbench AI Score
1846
Single Precision Score
12455
Half Precision Score
12490
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ranzi |
| Upload Date | August 15 2024 09:36 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
982
182.6 IPS |
|
|
Image Classification (HP)
|
100% |
6389
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
6577
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4256
69.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
4257
69.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5697
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
68519
79.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
65070
76.3 IPS |
|
|
Object Detection (SP)
|
100% |
1078
85.5 IPS |
|
|
Object Detection (HP)
|
99% |
7186
571.6 IPS |
|
|
Object Detection (Q)
|
93% |
6616
527.9 IPS |
|
|
Face Detection (SP)
|
100% |
1853
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
12259
145.7 IPS |
|
|
Face Detection (Q)
|
100% |
11149
132.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3283
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
44850
345.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
47113
364.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9956
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119518
153.6 IPS |
|
|
Style Transfer (Q)
|
100% |
124556
160.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2519
93.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18014
665.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20513
760.0 IPS |
|
|
Text Classification (SP)
|
100% |
564
752.2 IPS |
|
|
Text Classification (HP)
|
100% |
2453
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
2483
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2302
39.8 IPS |
