Mac mini (Late 2020)
Geekbench AI Score
3044
Single Precision Score
14673
Half Precision Score
14492
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | flintlock1 |
| Upload Date | October 20 2025 05:16 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1290
240.0 IPS |
|
|
Image Classification (HP)
|
100% |
5858
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5973
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1255
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7787
126.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8223
133.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5544
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
64222
74.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
63116
74.0 IPS |
|
|
Object Detection (SP)
|
100% |
1386
109.9 IPS |
|
|
Object Detection (HP)
|
99% |
7008
557.5 IPS |
|
|
Object Detection (Q)
|
91% |
6691
534.6 IPS |
|
|
Face Detection (SP)
|
100% |
2978
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
13913
165.3 IPS |
|
|
Face Detection (Q)
|
100% |
12752
151.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5469
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
46818
360.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
46594
364.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16325
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121222
155.8 IPS |
|
|
Style Transfer (Q)
|
96% |
113235
146.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3482
128.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24248
895.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24553
906.6 IPS |
|
|
Text Classification (SP)
|
100% |
2408
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4312
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4253
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2469
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2730
47.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2805
48.5 IPS |
