Mac mini (Late 2020)
Geekbench AI Score
2660
Single Precision Score
4086
Half Precision Score
3532
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | sercansolmaz |
| Upload Date | September 08 2024 02:24 PM |
| Views | 8 |
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% |
1198
222.8 IPS |
|
|
Image Classification (HP)
|
100% |
1527
284.0 IPS |
|
|
Image Classification (Q)
|
96% |
1165
217.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1089
17.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1551
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5287
6.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
12266
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10669
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (HP)
|
97% |
1845
146.8 IPS |
|
|
Object Detection (Q)
|
94% |
1423
113.5 IPS |
|
|
Face Detection (SP)
|
100% |
2130
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
3624
43.1 IPS |
|
|
Face Detection (Q)
|
100% |
2474
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4677
36.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
7566
58.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
5795
45.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14104
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24370
31.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20487
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3330
123.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4630
171.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3408
125.8 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3720
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3692
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1898
32.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2998
51.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2987
51.6 IPS |
