HUANANZHI Gaming F8
Geekbench AI Score
4209
Single Precision Score
4167
Half Precision Score
3920
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | greedus |
| Upload Date | August 23 2024 12:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz |
| 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% |
3136
583.2 IPS |
|
|
Image Classification (HP)
|
100% |
3069
570.8 IPS |
|
|
Image Classification (Q)
|
100% |
2931
545.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2983
48.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2971
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3225
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7035
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6898
8.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
8383
9.83 IPS |
|
|
Object Detection (SP)
|
100% |
2841
225.3 IPS |
|
|
Object Detection (HP)
|
100% |
2759
218.8 IPS |
|
|
Object Detection (Q)
|
87% |
3026
242.7 IPS |
|
|
Face Detection (SP)
|
100% |
7985
94.9 IPS |
|
|
Face Detection (HP)
|
100% |
7998
95.0 IPS |
|
|
Face Detection (Q)
|
97% |
9429
112.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8067
62.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
8021
61.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
7619
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22162
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22121
28.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24559
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4417
163.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4390
162.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4774
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
632
844.0 IPS |
|
|
Text Classification (HP)
|
100% |
634
845.6 IPS |
|
|
Text Classification (Q)
|
91% |
300
402.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2345
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2305
39.7 IPS |
|
|
Machine Translation (Q)
|
90% |
1415
24.6 IPS |
