HUANANZHI X99
Geekbench AI Score
8565
Single Precision Score
6895
Half Precision Score
6447
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 20 2025 07:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 SUPER |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3537
657.7 IPS |
|
|
Image Classification (HP)
|
100% |
3335
620.3 IPS |
|
|
Image Classification (Q)
|
99% |
2948
549.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4999
81.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4265
69.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4366
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
39852
46.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
24607
28.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
35016
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
4522
358.7 IPS |
|
|
Object Detection (HP)
|
100% |
4283
339.7 IPS |
|
|
Object Detection (Q)
|
83% |
3776
305.1 IPS |
|
|
Face Detection (SP)
|
100% |
9738
115.7 IPS |
|
|
Face Detection (HP)
|
100% |
8146
96.8 IPS |
|
|
Face Detection (Q)
|
97% |
8277
98.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
23184
178.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17509
134.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
17204
137.3 IPS |
|
|
Style Transfer (SP)
|
100% |
71050
91.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48963
62.9 IPS |
|
|
Style Transfer (Q)
|
98% |
61311
79.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14203
524.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10586
390.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9243
342.2 IPS |
|
|
Text Classification (SP)
|
100% |
1436
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1081
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
868
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2040
35.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2028
35.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1041
19.5 IPS |
