Mac mini (Late 2020)
Geekbench AI Score
2829
Single Precision Score
4289
Half Precision Score
3526
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | joedec |
| Upload Date | August 18 2024 04:32 PM |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1320
245.4 IPS |
|
|
Image Classification (HP)
|
100% |
1697
315.7 IPS |
|
|
Image Classification (Q)
|
99% |
1691
315.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1163
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1158
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5864
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
13556
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11588
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (HP)
|
97% |
1959
156.0 IPS |
|
|
Object Detection (Q)
|
94% |
1523
121.4 IPS |
|
|
Face Detection (SP)
|
100% |
2389
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
4016
47.7 IPS |
|
|
Face Detection (Q)
|
100% |
2635
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5245
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8212
63.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
3507
27.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15616
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24804
31.9 IPS |
|
|
Style Transfer (Q)
|
100% |
24790
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3369
124.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4363
161.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3368
124.8 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3665
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3627
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1740
30.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3078
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3073
53.1 IPS |
