Mac mini (Late 2020)
Geekbench AI Score
3246
Single Precision Score
15584
Half Precision Score
15323
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 12:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
1399
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
6133
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5778
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9699
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9935
161.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6544
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
69002
80.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65755
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.4 IPS |
|
|
Object Detection (HP)
|
99% |
7190
571.9 IPS |
|
|
Object Detection (Q)
|
91% |
6407
512.0 IPS |
|
|
Face Detection (SP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
14412
171.2 IPS |
|
|
Face Detection (Q)
|
100% |
14602
173.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5808
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47293
364.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
48231
376.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16857
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120914
155.4 IPS |
|
|
Style Transfer (Q)
|
96% |
114906
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3761
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24329
898.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24479
903.9 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3913
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2535
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3637
62.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3807
65.8 IPS |
