Mac mini (Late 2020)
Geekbench AI Score
1701
Single Precision Score
12246
Half Precision Score
12562
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | MadMike |
| Upload Date | August 16 2024 04:02 AM |
| Views | 4 |
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 | 3.07 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
854
158.8 IPS |
|
|
Image Classification (HP)
|
100% |
5869
1.09 KIPS |
|
|
Image Classification (Q)
|
99% |
6354
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
592
9.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
4211
68.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
4149
67.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4994
5.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
67529
78.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
66312
77.8 IPS |
|
|
Object Detection (SP)
|
100% |
1024
81.2 IPS |
|
|
Object Detection (HP)
|
99% |
7181
571.3 IPS |
|
|
Object Detection (Q)
|
93% |
6621
528.3 IPS |
|
|
Face Detection (SP)
|
100% |
1786
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
12160
144.5 IPS |
|
|
Face Detection (Q)
|
100% |
12381
147.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3272
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
45702
352.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
48364
374.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9403
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120460
154.9 IPS |
|
|
Style Transfer (Q)
|
100% |
125620
161.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2460
90.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18198
672.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
21136
783.1 IPS |
|
|
Text Classification (SP)
|
100% |
457
609.9 IPS |
|
|
Text Classification (HP)
|
100% |
2364
3.16 KIPS |
|
|
Text Classification (Q)
|
93% |
2457
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2199
37.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2166
37.4 IPS |
