Mac mini (Late 2020)
Geekbench AI Score
3205
Single Precision Score
16005
Half Precision Score
15663
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 09 2026 08:25 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1410
262.2 IPS |
|
|
Image Classification (HP)
|
100% |
6335
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5963
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9724
157.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10118
164.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6512
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
69500
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66287
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
99% |
7240
576.0 IPS |
|
|
Object Detection (Q)
|
91% |
6833
546.0 IPS |
|
|
Face Detection (SP)
|
100% |
3009
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
17044
202.5 IPS |
|
|
Face Detection (Q)
|
100% |
15427
183.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5690
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48718
375.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
49311
385.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16944
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122589
157.6 IPS |
|
|
Style Transfer (Q)
|
96% |
115621
149.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3668
135.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23907
882.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24521
905.4 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3996
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4004
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2489
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3661
63.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3767
65.1 IPS |
