Apple Inc. Macmini8,1
Geekbench AI Score
1493
Single Precision Score
416
Half Precision Score
1863
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kdw4gb |
| Upload Date | August 24 2024 08:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| 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 i7-8700B |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
985
183.2 IPS |
|
|
Image Classification (HP)
|
100% |
88
16.4 IPS |
|
|
Image Classification (Q)
|
97% |
1661
309.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
843
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
135
2.18 IPS |
|
|
Image Segmentation (Q)
|
97% |
1228
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2269
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1864
2.18 IPS |
|
|
Pose Estimation (Q)
|
87% |
5349
6.32 IPS |
|
|
Object Detection (SP)
|
100% |
973
77.2 IPS |
|
|
Object Detection (HP)
|
100% |
117
9.29 IPS |
|
|
Object Detection (Q)
|
86% |
1093
87.9 IPS |
|
|
Face Detection (SP)
|
100% |
1615
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
175
2.08 IPS |
|
|
Face Detection (Q)
|
96% |
2524
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2851
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
518
3.99 IPS |
|
|
Depth Estimation (Q)
|
76% |
3386
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6127
7.88 IPS |
|
|
Style Transfer (HP)
|
100% |
4286
5.51 IPS |
|
|
Style Transfer (Q)
|
87% |
9077
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1162
42.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
984
36.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1415
52.4 IPS |
|
|
Text Classification (SP)
|
100% |
891
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
403
537.4 IPS |
|
|
Text Classification (Q)
|
97% |
312
418.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
394
6.79 IPS |
|
|
Machine Translation (Q)
|
60% |
1239
27.6 IPS |
