Mac mini (Late 2020)
Geekbench AI Score
4973
Single Precision Score
5801
Half Precision Score
5129
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jeanantogul |
| Upload Date | December 19 2024 10:04 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2422
450.4 IPS |
|
|
Image Classification (HP)
|
100% |
2450
455.7 IPS |
|
|
Image Classification (Q)
|
97% |
2248
419.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2740
44.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3644
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3700
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17104
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18717
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17413
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2707
214.7 IPS |
|
|
Object Detection (HP)
|
100% |
2701
214.2 IPS |
|
|
Object Detection (Q)
|
91% |
2250
179.8 IPS |
|
|
Face Detection (SP)
|
100% |
6669
79.2 IPS |
|
|
Face Detection (HP)
|
100% |
8298
98.6 IPS |
|
|
Face Detection (Q)
|
100% |
5701
67.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12258
94.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13931
107.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
11459
89.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29158
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35004
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32751
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6590
243.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7332
270.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5550
204.9 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3962
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3952
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
824
14.2 IPS |
