Mac mini (Late 2020)
Geekbench AI Score
3231
Single Precision Score
5305
Half Precision Score
4393
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ofromdamo |
| Upload Date | November 01 2024 11:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
1398
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
2194
408.1 IPS |
|
|
Image Classification (Q)
|
96% |
1565
292.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2207
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2601
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6549
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
13926
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12056
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (HP)
|
97% |
2433
193.7 IPS |
|
|
Object Detection (Q)
|
94% |
1788
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5448
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3172
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5789
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11072
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7660
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16730
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26163
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21856
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3736
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4392
162.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3363
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
2341
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4073
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4032
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2524
43.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3812
65.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4244
73.3 IPS |
