Mac mini (Late 2020)
Geekbench AI Score
2623
Single Precision Score
3958
Half Precision Score
3285
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | MadMike |
| Upload Date | August 16 2024 03:43 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 | 3.08 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1223
227.4 IPS |
|
|
Image Classification (HP)
|
100% |
1548
288.0 IPS |
|
|
Image Classification (Q)
|
99% |
1553
289.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1076
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1087
17.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1084
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5370
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
12448
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
10732
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1318
104.6 IPS |
|
|
Object Detection (HP)
|
97% |
1824
145.2 IPS |
|
|
Object Detection (Q)
|
94% |
1437
114.5 IPS |
|
|
Face Detection (SP)
|
100% |
2203
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
3756
44.6 IPS |
|
|
Face Detection (Q)
|
100% |
2476
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4879
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7733
59.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
3537
27.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14247
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22843
29.4 IPS |
|
|
Style Transfer (Q)
|
100% |
22767
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3090
114.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4004
147.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3082
114.2 IPS |
|
|
Text Classification (SP)
|
100% |
2102
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3201
4.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1669
28.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2860
49.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2866
49.5 IPS |
