HUANANZHI X99
Geekbench AI Score
8330
Single Precision Score
8293
Half Precision Score
6176
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 16 2025 12:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | HUANANZHI X99 |
| Motherboard | HUANANZHI X99-BD4 |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v3 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2295
426.8 IPS |
|
|
Image Classification (HP)
|
100% |
3415
635.1 IPS |
|
|
Image Classification (Q)
|
99% |
2013
375.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4895
79.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4955
80.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4157
67.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
65834
76.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
35668
41.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
51263
60.1 IPS |
|
|
Object Detection (SP)
|
100% |
2960
234.8 IPS |
|
|
Object Detection (HP)
|
100% |
4559
361.7 IPS |
|
|
Object Detection (Q)
|
84% |
2577
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
5784
68.7 IPS |
|
|
Face Detection (HP)
|
100% |
8747
103.9 IPS |
|
|
Face Detection (Q)
|
97% |
5087
60.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20181
155.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18096
139.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
15275
122.1 IPS |
|
|
Style Transfer (SP)
|
100% |
104907
134.9 IPS |
|
|
Style Transfer (HP)
|
100% |
59918
77.0 IPS |
|
|
Style Transfer (Q)
|
98% |
78722
101.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17341
640.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13891
512.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10587
392.0 IPS |
|
|
Text Classification (SP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1813
2.42 KIPS |
|
|
Text Classification (Q)
|
97% |
910
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2369
40.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2342
40.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1240
23.2 IPS |
