Mac mini (Late 2020)
Geekbench AI Score
3232
Single Precision Score
15374
Half Precision Score
14889
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Ijunghaertchen |
| Upload Date | January 06 2025 05:08 PM |
| Views | 3 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
6004
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5685
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9524
154.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9803
158.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6537
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
69208
80.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
66553
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1530
121.4 IPS |
|
|
Object Detection (HP)
|
99% |
6884
547.6 IPS |
|
|
Object Detection (Q)
|
91% |
6405
511.8 IPS |
|
|
Face Detection (SP)
|
100% |
3068
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
15524
184.5 IPS |
|
|
Face Detection (Q)
|
100% |
12691
150.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5826
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47289
364.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
47515
371.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16828
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
120616
155.1 IPS |
|
|
Style Transfer (Q)
|
96% |
114890
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3788
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24011
886.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24427
902.0 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3975
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3937
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2488
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3205
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3383
58.5 IPS |
