Mac mini (Late 2020)
Geekbench AI Score
1639
Single Precision Score
11358
Half Precision Score
11718
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ivan1950 |
| Upload Date | August 18 2024 08:28 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.11 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
803
149.3 IPS |
|
|
Image Classification (HP)
|
100% |
5842
1.09 KIPS |
|
|
Image Classification (Q)
|
99% |
6139
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
563
9.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
3980
64.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
3889
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4693
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
58481
68.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
64363
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1076
85.3 IPS |
|
|
Object Detection (HP)
|
99% |
6645
528.6 IPS |
|
|
Object Detection (Q)
|
93% |
6353
506.9 IPS |
|
|
Face Detection (SP)
|
100% |
1495
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
10267
122.0 IPS |
|
|
Face Detection (Q)
|
100% |
10493
124.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2969
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
40945
315.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
40594
313.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8667
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
101581
130.6 IPS |
|
|
Style Transfer (Q)
|
100% |
105284
135.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2261
83.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16119
595.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
19982
740.3 IPS |
|
|
Text Classification (SP)
|
100% |
664
885.8 IPS |
|
|
Text Classification (HP)
|
100% |
2890
3.86 KIPS |
|
|
Text Classification (Q)
|
93% |
2826
3.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1989
34.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1976
34.1 IPS |
