Mac mini (Late 2020)
Geekbench AI Score
3143
Single Precision Score
15193
Half Precision Score
14673
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | petergraening |
| Upload Date | January 17 2025 04:49 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1360
253.0 IPS |
|
|
Image Classification (HP)
|
100% |
5970
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
5673
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9352
151.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9587
155.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6445
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
69171
80.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66696
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
1487
117.9 IPS |
|
|
Object Detection (HP)
|
99% |
7023
558.6 IPS |
|
|
Object Detection (Q)
|
91% |
6562
524.3 IPS |
|
|
Face Detection (SP)
|
100% |
2829
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
15424
183.3 IPS |
|
|
Face Detection (Q)
|
100% |
12015
142.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5713
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46911
361.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
47025
367.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16533
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120940
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
115804
149.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3684
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23242
858.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24350
899.1 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4028
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4017
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2392
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2951
50.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3037
52.5 IPS |
