Mac mini (Late 2020)
Geekbench AI Score
3199
Single Precision Score
15903
Half Precision Score
15572
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 12:38 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1413
262.8 IPS |
|
|
Image Classification (HP)
|
100% |
6278
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5952
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9668
156.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9993
162.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6516
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
69478
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66668
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
7213
573.8 IPS |
|
|
Object Detection (Q)
|
91% |
6797
543.1 IPS |
|
|
Face Detection (SP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
16776
199.3 IPS |
|
|
Face Detection (Q)
|
100% |
15306
181.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5690
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48388
372.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
48822
381.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16974
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122080
156.9 IPS |
|
|
Style Transfer (Q)
|
96% |
115251
148.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3669
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23646
873.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24422
901.8 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4016
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3957
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2485
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3616
62.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3738
64.6 IPS |
