Mac mini (Late 2020)
Geekbench AI Score
3229
Single Precision Score
5317
Half Precision Score
4395
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | heartcrazed |
| Upload Date | February 09 2025 12:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
2180
405.5 IPS |
|
|
Image Classification (Q)
|
96% |
1557
290.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2187
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2592
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6524
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13929
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12062
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.4 IPS |
|
|
Object Detection (HP)
|
97% |
2434
193.8 IPS |
|
|
Object Detection (Q)
|
94% |
1790
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5446
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3194
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5817
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11030
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7663
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16880
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26183
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21960
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3746
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4575
168.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3383
124.9 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4091
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
3979
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2508
43.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3801
65.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4271
73.8 IPS |
