Mac mini (Late 2020)
Geekbench AI Score
2833
Single Precision Score
4307
Half Precision Score
3711
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 31 2024 10:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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% |
1317
244.9 IPS |
|
|
Image Classification (HP)
|
100% |
1697
315.6 IPS |
|
|
Image Classification (Q)
|
96% |
1287
240.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1676
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5868
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
13545
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11737
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
97% |
1956
155.7 IPS |
|
|
Object Detection (Q)
|
94% |
1529
121.9 IPS |
|
|
Face Detection (SP)
|
100% |
2421
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
4004
47.6 IPS |
|
|
Face Detection (Q)
|
100% |
2624
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5253
40.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
8211
63.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6189
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15587
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24705
31.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20890
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3366
124.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4646
171.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3406
125.8 IPS |
|
|
Text Classification (SP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3642
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3609
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1755
30.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3077
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3069
53.0 IPS |
