HUANANZHI Gaming F8
Geekbench AI Score
10061
Single Precision Score
16135
Half Precision Score
7146
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | greedus |
| Upload Date | August 23 2024 12:26 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | HUANANZHI Gaming F8 |
| Motherboard | Huananzhi X99-F8 Gaming |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3889
723.2 IPS |
|
|
Image Classification (HP)
|
100% |
5925
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
3142
584.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6569
106.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8621
139.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5629
91.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
54166
63.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
142294
166.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
46053
53.9 IPS |
|
|
Object Detection (SP)
|
100% |
5006
397.0 IPS |
|
|
Object Detection (HP)
|
100% |
7729
613.1 IPS |
|
|
Object Detection (Q)
|
89% |
4113
329.2 IPS |
|
|
Face Detection (SP)
|
100% |
11175
132.8 IPS |
|
|
Face Detection (HP)
|
100% |
16177
192.2 IPS |
|
|
Face Detection (Q)
|
97% |
8984
107.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26879
207.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
48758
375.7 IPS |
|
|
Depth Estimation (Q)
|
70% |
18243
153.7 IPS |
|
|
Style Transfer (SP)
|
100% |
94807
121.9 IPS |
|
|
Style Transfer (HP)
|
100% |
215412
276.9 IPS |
|
|
Style Transfer (Q)
|
98% |
79976
103.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15417
569.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24098
889.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10066
372.7 IPS |
|
|
Text Classification (SP)
|
100% |
1564
2.09 KIPS |
|
|
Text Classification (HP)
|
99% |
2314
3.09 KIPS |
|
|
Text Classification (Q)
|
97% |
830
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2236
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (Q)
|
60% |
947
21.1 IPS |
