HUANANZHI Gaming F8
Geekbench AI Score
10013
Single Precision Score
15975
Half Precision Score
7165
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | greedus |
| Upload Date | November 03 2024 09:50 PM |
| Views | 5 |
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% |
3823
710.9 IPS |
|
|
Image Classification (HP)
|
100% |
6168
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
3187
592.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6564
106.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8656
140.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5596
91.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
53991
63.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
139785
163.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
46000
53.9 IPS |
|
|
Object Detection (SP)
|
100% |
5076
402.7 IPS |
|
|
Object Detection (HP)
|
100% |
7752
614.9 IPS |
|
|
Object Detection (Q)
|
89% |
4105
328.6 IPS |
|
|
Face Detection (SP)
|
100% |
11200
133.1 IPS |
|
|
Face Detection (HP)
|
100% |
16116
191.5 IPS |
|
|
Face Detection (Q)
|
97% |
8946
106.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26895
207.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
49338
380.1 IPS |
|
|
Depth Estimation (Q)
|
70% |
18150
152.9 IPS |
|
|
Style Transfer (SP)
|
100% |
95084
122.2 IPS |
|
|
Style Transfer (HP)
|
100% |
214362
275.6 IPS |
|
|
Style Transfer (Q)
|
98% |
79923
103.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15337
566.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24223
894.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10240
379.2 IPS |
|
|
Text Classification (SP)
|
100% |
1546
2.06 KIPS |
|
|
Text Classification (HP)
|
99% |
2083
2.78 KIPS |
|
|
Text Classification (Q)
|
97% |
841
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2171
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2176
37.5 IPS |
|
|
Machine Translation (Q)
|
60% |
948
21.1 IPS |
