HUANANZHI Gaming F8
Geekbench AI Score
3680
Single Precision Score
1083
Half Precision Score
3385
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | greedus |
| Upload Date | April 13 2025 06:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2697A v4 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | HUANANZHI Gaming F8 |
| Motherboard | Huananzhi X99-F8 Gaming |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697A 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% |
3057
568.5 IPS |
|
|
Image Classification (HP)
|
100% |
317
59.0 IPS |
|
|
Image Classification (Q)
|
96% |
3139
586.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.51 IPS |
|
|
Image Segmentation (Q)
|
97% |
1691
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8079
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5562
6.49 IPS |
|
|
Pose Estimation (Q)
|
86% |
8727
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
3057
242.5 IPS |
|
|
Object Detection (HP)
|
100% |
413
32.8 IPS |
|
|
Object Detection (Q)
|
58% |
2421
264.5 IPS |
|
|
Face Detection (SP)
|
100% |
7232
85.9 IPS |
|
|
Face Detection (HP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (Q)
|
96% |
5984
71.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9651
74.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1405
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8177
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17664
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13375
17.2 IPS |
|
|
Style Transfer (Q)
|
87% |
12896
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2309
85.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1784
65.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1852
68.6 IPS |
|
|
Text Classification (SP)
|
100% |
933
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
426
569.1 IPS |
|
|
Text Classification (Q)
|
97% |
790
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1550
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (Q)
|
68% |
1910
36.9 IPS |
