Mac mini (Late 2020)
Geekbench AI Score
3079
Single Precision Score
15439
Half Precision Score
15483
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | iPhil |
| Upload Date | January 28 2025 10:10 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.02 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1319
245.2 IPS |
|
|
Image Classification (HP)
|
100% |
6367
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5881
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9519
154.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9962
161.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6365
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
68714
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67685
79.3 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (HP)
|
99% |
7439
591.7 IPS |
|
|
Object Detection (Q)
|
91% |
6920
552.9 IPS |
|
|
Face Detection (SP)
|
100% |
2598
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
14684
174.5 IPS |
|
|
Face Detection (Q)
|
100% |
14941
177.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5315
40.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
49053
377.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
50012
390.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16550
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
123317
158.5 IPS |
|
|
Style Transfer (Q)
|
96% |
118154
152.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3743
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23915
883.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25181
929.8 IPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3674
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
4105
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2396
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3184
54.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3163
54.7 IPS |
