HUANANZHI Gaming F8
Geekbench AI Score
2668
Single Precision Score
543
Half Precision Score
2064
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | greedus |
| Upload Date | August 23 2024 12:22 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v4 |
| 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% |
1508
280.5 IPS |
|
|
Image Classification (HP)
|
100% |
87
16.2 IPS |
|
|
Image Classification (Q)
|
97% |
1688
315.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1259
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
151
2.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
1374
22.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6986
8.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
5145
6.00 IPS |
|
|
Pose Estimation (Q)
|
87% |
7550
8.92 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.8 IPS |
|
|
Object Detection (HP)
|
100% |
128
10.1 IPS |
|
|
Object Detection (Q)
|
86% |
1149
92.4 IPS |
|
|
Face Detection (SP)
|
100% |
2794
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
189
2.25 IPS |
|
|
Face Detection (Q)
|
96% |
2447
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6775
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
580
4.47 IPS |
|
|
Depth Estimation (Q)
|
76% |
4570
36.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15018
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11635
15.0 IPS |
|
|
Style Transfer (Q)
|
87% |
11032
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2122
78.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1624
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1767
65.5 IPS |
|
|
Text Classification (SP)
|
100% |
956
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
374
499.2 IPS |
|
|
Text Classification (Q)
|
97% |
278
372.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1330
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (Q)
|
60% |
1154
25.7 IPS |
