Mac mini (Late 2020)
Geekbench AI Score
2819
Single Precision Score
4274
Half Precision Score
3553
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | WrigleyBeard |
| Upload Date | August 17 2024 01:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1300
241.7 IPS |
|
|
Image Classification (HP)
|
100% |
1688
313.8 IPS |
|
|
Image Classification (Q)
|
99% |
1683
314.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1156
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5830
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
13491
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11527
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (HP)
|
97% |
1942
154.6 IPS |
|
|
Object Detection (Q)
|
94% |
1521
121.3 IPS |
|
|
Face Detection (SP)
|
100% |
2401
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4045
48.1 IPS |
|
|
Face Detection (Q)
|
100% |
2631
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5232
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8172
63.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
3917
30.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15504
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24687
31.7 IPS |
|
|
Style Transfer (Q)
|
100% |
24666
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3358
124.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4383
161.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3353
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3620
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3593
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1754
30.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3084
53.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3076
53.2 IPS |
