Mac mini (Late 2020)
Geekbench AI Score
3230
Single Precision Score
16478
Half Precision Score
16118
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tobyg |
| Upload Date | February 03 2025 04:19 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1414
263.0 IPS |
|
|
Image Classification (HP)
|
100% |
6465
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6001
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9750
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10093
163.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6549
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
68812
80.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66957
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1520
120.6 IPS |
|
|
Object Detection (HP)
|
99% |
7273
578.5 IPS |
|
|
Object Detection (Q)
|
91% |
6834
546.1 IPS |
|
|
Face Detection (SP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16870
200.5 IPS |
|
|
Face Detection (Q)
|
100% |
15411
183.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5839
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
48838
376.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
49276
385.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16710
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
122524
157.5 IPS |
|
|
Style Transfer (Q)
|
96% |
115878
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3727
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23855
880.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24324
898.2 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4029
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3965
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2496
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4824
83.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5034
87.0 IPS |
