Mac mini (Late 2020)
Geekbench AI Score
1790
Single Precision Score
12511
Half Precision Score
12645
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 08:38 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
994
184.8 IPS |
|
|
Image Classification (HP)
|
100% |
6366
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
6545
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4246
68.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
4244
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5666
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
68030
79.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
64510
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1076
85.3 IPS |
|
|
Object Detection (HP)
|
99% |
7159
569.5 IPS |
|
|
Object Detection (Q)
|
93% |
6628
528.9 IPS |
|
|
Face Detection (SP)
|
100% |
1817
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
12450
147.9 IPS |
|
|
Face Detection (Q)
|
100% |
12705
151.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3176
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
44910
346.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
47085
364.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9825
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
118846
152.8 IPS |
|
|
Style Transfer (Q)
|
100% |
124721
160.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2479
91.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17978
663.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20575
762.3 IPS |
|
|
Text Classification (SP)
|
100% |
466
622.3 IPS |
|
|
Text Classification (HP)
|
100% |
2600
3.47 KIPS |
|
|
Text Classification (Q)
|
93% |
2507
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1330
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2298
39.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2288
39.5 IPS |
