HUANANZHI Gaming F8
Geekbench AI Score
12854
Single Precision Score
19223
Half Precision Score
9227
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | greedus |
| Upload Date | March 04 2025 12:03 AM |
| Views | 13 |
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 E5-2680 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4596
854.8 IPS |
|
|
Image Classification (HP)
|
100% |
7036
1.31 KIPS |
|
|
Image Classification (Q)
|
99% |
3837
715.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8027
130.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9879
160.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6740
109.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
82440
96.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
207632
242.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
66840
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
6524
517.5 IPS |
|
|
Object Detection (HP)
|
100% |
9290
736.9 IPS |
|
|
Object Detection (Q)
|
84% |
5226
421.5 IPS |
|
|
Face Detection (SP)
|
100% |
15025
178.5 IPS |
|
|
Face Detection (HP)
|
100% |
20799
247.1 IPS |
|
|
Face Detection (Q)
|
97% |
12350
147.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
37400
288.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
61343
472.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
25088
200.9 IPS |
|
|
Style Transfer (SP)
|
100% |
141953
182.5 IPS |
|
|
Style Transfer (HP)
|
100% |
293856
377.8 IPS |
|
|
Style Transfer (Q)
|
98% |
114222
147.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22699
838.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29392
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13712
507.7 IPS |
|
|
Text Classification (SP)
|
100% |
1425
1.90 KIPS |
|
|
Text Classification (HP)
|
99% |
1947
2.60 KIPS |
|
|
Text Classification (Q)
|
97% |
867
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2407
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2396
41.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1178
22.1 IPS |
