Mac mini (Late 2020)
Geekbench AI Score
3112
Single Precision Score
15664
Half Precision Score
15395
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | advantis |
| Upload Date | February 08 2026 09:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.4 IPS |
|
|
Image Classification (HP)
|
100% |
6307
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5959
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9603
155.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9919
160.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6433
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
70043
81.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
67944
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (HP)
|
99% |
7428
590.9 IPS |
|
|
Object Detection (Q)
|
91% |
7027
561.5 IPS |
|
|
Face Detection (SP)
|
100% |
2895
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
16764
199.2 IPS |
|
|
Face Detection (Q)
|
100% |
15061
179.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5533
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
48362
372.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
49119
383.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16550
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
122674
157.7 IPS |
|
|
Style Transfer (Q)
|
96% |
117406
151.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3565
131.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23485
867.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24639
909.8 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4008
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3989
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2263
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3015
51.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3106
53.7 IPS |
