HUANANZHI Gaming F8
Geekbench AI Score
14234
Single Precision Score
22151
Half Precision Score
9906
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | greedus |
| Upload Date | April 13 2025 06:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 SUPER |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | HUANANZHI Gaming F8 |
| Motherboard | Huananzhi X99-F8 Gaming |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697A v4 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5191
965.3 IPS |
|
|
Image Classification (HP)
|
100% |
7636
1.42 KIPS |
|
|
Image Classification (Q)
|
99% |
4037
753.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
10640
172.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14328
232.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8523
138.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
84114
98.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
222868
260.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
68936
80.8 IPS |
|
|
Object Detection (SP)
|
100% |
6970
552.9 IPS |
|
|
Object Detection (HP)
|
100% |
10184
807.8 IPS |
|
|
Object Detection (Q)
|
84% |
5478
441.9 IPS |
|
|
Face Detection (SP)
|
100% |
17271
205.2 IPS |
|
|
Face Detection (HP)
|
100% |
24902
295.9 IPS |
|
|
Face Detection (Q)
|
97% |
13700
163.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
38314
295.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
62929
484.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
25928
207.7 IPS |
|
|
Style Transfer (SP)
|
100% |
145332
186.8 IPS |
|
|
Style Transfer (HP)
|
100% |
310226
398.8 IPS |
|
|
Style Transfer (Q)
|
98% |
115651
149.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22955
847.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32449
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14201
525.9 IPS |
|
|
Text Classification (SP)
|
100% |
1496
2.00 KIPS |
|
|
Text Classification (HP)
|
99% |
2235
2.98 KIPS |
|
|
Text Classification (Q)
|
97% |
884
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3193
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3249
56.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1359
25.5 IPS |
