Mac mini (Late 2020)
Geekbench AI Score
3136
Single Precision Score
15766
Half Precision Score
15455
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | justinwkf |
| Upload Date | July 31 2025 04:20 PM |
| Views | 3 |
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 | 3.19 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
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
6169
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5801
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1238
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9590
155.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10012
162.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6425
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
69273
80.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
67031
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
99% |
7314
581.8 IPS |
|
|
Object Detection (Q)
|
91% |
6680
533.8 IPS |
|
|
Face Detection (SP)
|
100% |
2853
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
16710
198.5 IPS |
|
|
Face Detection (Q)
|
100% |
15351
182.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5601
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
47493
365.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
48334
377.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16705
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
121572
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
116013
149.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3666
135.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23332
861.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24017
886.8 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4055
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4046
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2454
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3469
59.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3576
61.8 IPS |
