HUANANZHI Gaming F8
Geekbench AI Score
5541
Single Precision Score
5497
Half Precision Score
4663
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | greedus |
| Upload Date | April 13 2025 06:34 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2697A v4 @ 2.60GHz |
| 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% |
3568
663.5 IPS |
|
|
Image Classification (HP)
|
100% |
3542
658.6 IPS |
|
|
Image Classification (Q)
|
100% |
3303
614.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4891
79.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4922
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5185
84.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7515
8.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
7478
8.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
9751
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
3402
269.8 IPS |
|
|
Object Detection (HP)
|
100% |
3273
259.6 IPS |
|
|
Object Detection (Q)
|
87% |
3380
271.1 IPS |
|
|
Face Detection (SP)
|
100% |
9125
108.4 IPS |
|
|
Face Detection (HP)
|
100% |
9229
109.7 IPS |
|
|
Face Detection (Q)
|
97% |
11186
133.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9235
71.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9316
71.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
10738
84.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24908
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24910
32.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28347
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4901
181.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4900
181.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5550
205.6 IPS |
|
|
Text Classification (SP)
|
100% |
2153
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2165
2.89 KIPS |
|
|
Text Classification (Q)
|
91% |
179
241.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2764
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2600
44.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2550
43.9 IPS |
