Mac mini (Late 2020)
Geekbench AI Score
3219
Single Precision Score
14579
Half Precision Score
14172
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | deleavell |
| Upload Date | September 23 2024 02:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1398
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
6280
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5935
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6594
106.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6744
109.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6548
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
69144
80.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
65932
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
7183
571.4 IPS |
|
|
Object Detection (Q)
|
91% |
6710
536.2 IPS |
|
|
Face Detection (SP)
|
100% |
3042
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16847
200.2 IPS |
|
|
Face Detection (Q)
|
100% |
15307
181.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5811
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47842
368.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
48721
380.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16705
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
121842
156.6 IPS |
|
|
Style Transfer (Q)
|
96% |
115114
148.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3710
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23201
856.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23882
881.9 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3984
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3889
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2493
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2324
40.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2315
40.0 IPS |
