Mac mini (Late 2020)
Geekbench AI Score
3272
Single Precision Score
16833
Half Precision Score
16483
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Mojoxer |
| Upload Date | November 19 2024 07:55 PM |
| Views | 1 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
6414
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6061
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9925
160.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10248
166.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6546
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
69483
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65883
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
7595
604.1 IPS |
|
|
Object Detection (Q)
|
91% |
7096
567.0 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
17143
203.7 IPS |
|
|
Face Detection (Q)
|
100% |
15623
185.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5828
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
49658
382.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
50286
393.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17086
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
122551
157.5 IPS |
|
|
Style Transfer (Q)
|
96% |
115948
149.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3809
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24027
887.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24630
909.5 IPS |
|
|
Text Classification (SP)
|
100% |
2341
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4107
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4089
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2597
44.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5282
91.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5557
96.0 IPS |
