HUANANZHI
Geekbench AI Score
3422
Single Precision Score
1008
Half Precision Score
3118
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 10:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2696 v3 |
| System Information | |
|---|---|
| Operating System | Windows 11 IoT LTSC (64-bit) |
| Model | HUANANZHI |
| Motherboard | HUANANZHI X99-TF-Q GAMING |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2696 v3 |
| Topology | 1 Processor, 18 Cores |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3037
564.7 IPS |
|
|
Image Classification (HP)
|
100% |
292
54.4 IPS |
|
|
Image Classification (Q)
|
96% |
3017
563.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
486
7.87 IPS |
|
|
Image Segmentation (Q)
|
97% |
1630
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8532
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
5332
6.22 IPS |
|
|
Pose Estimation (Q)
|
86% |
9009
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
2916
231.3 IPS |
|
|
Object Detection (HP)
|
100% |
389
30.9 IPS |
|
|
Object Detection (Q)
|
58% |
2230
243.7 IPS |
|
|
Face Detection (SP)
|
100% |
6331
75.2 IPS |
|
|
Face Detection (HP)
|
100% |
952
11.3 IPS |
|
|
Face Detection (Q)
|
96% |
5309
63.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8773
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1299
10.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7526
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16373
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12550
16.1 IPS |
|
|
Style Transfer (Q)
|
87% |
11868
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2180
80.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1686
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1805
66.9 IPS |
|
|
Text Classification (SP)
|
100% |
868
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
387
516.3 IPS |
|
|
Text Classification (Q)
|
97% |
693
928.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
364
6.27 IPS |
|
|
Machine Translation (Q)
|
68% |
1486
28.7 IPS |
