Mac mini (Late 2020)
Geekbench AI Score
4768
Single Precision Score
5639
Half Precision Score
4996
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | iPhil |
| Upload Date | January 28 2025 10:07 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
2382
443.0 IPS |
|
|
Image Classification (HP)
|
100% |
2529
470.4 IPS |
|
|
Image Classification (Q)
|
97% |
2107
393.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2544
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3320
53.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3549
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15673
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17381
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16074
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
100% |
2615
207.4 IPS |
|
|
Object Detection (Q)
|
91% |
2090
167.0 IPS |
|
|
Face Detection (SP)
|
100% |
5880
69.9 IPS |
|
|
Face Detection (HP)
|
100% |
7519
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
5206
61.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11456
88.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12798
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
10988
85.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27033
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32655
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30884
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6123
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6901
254.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5319
196.4 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4046
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4040
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1017
17.6 IPS |
