Apple Inc. Macmini8,1
Geekbench AI Score
1839
Single Precision Score
887
Half Precision Score
2007
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | sfuller67 |
| Upload Date | October 24 2024 08:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8500B |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Apple Inc. Macmini8,1 |
| Motherboard | Apple Inc. Mac-7BA5B2DFE22DDD8C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8500B |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1147
213.2 IPS |
|
|
Image Classification (HP)
|
100% |
315
58.5 IPS |
|
|
Image Classification (Q)
|
96% |
1594
297.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
844
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (Q)
|
97% |
1350
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3780
4.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2904
3.39 IPS |
|
|
Pose Estimation (Q)
|
87% |
6644
7.85 IPS |
|
|
Object Detection (SP)
|
100% |
1148
91.0 IPS |
|
|
Object Detection (HP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (Q)
|
86% |
1095
88.0 IPS |
|
|
Face Detection (SP)
|
100% |
1354
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
822
9.76 IPS |
|
|
Face Detection (Q)
|
96% |
2455
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3680
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1228
9.46 IPS |
|
|
Depth Estimation (Q)
|
77% |
3456
27.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8662
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6697
8.61 IPS |
|
|
Style Transfer (Q)
|
87% |
9829
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1295
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1923
71.3 IPS |
|
|
Text Classification (SP)
|
100% |
1222
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
483
645.0 IPS |
|
|
Text Classification (Q)
|
97% |
360
482.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
422
7.26 IPS |
|
|
Machine Translation (Q)
|
60% |
1177
26.2 IPS |
