HUANANZHI
Geekbench AI Score
3349
Single Precision Score
989
Half Precision Score
3088
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 11 2025 08:06 PM |
| Views | 4 |
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, 36 Threads |
| 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% |
2995
557.0 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.3 IPS |
|
|
Image Classification (Q)
|
96% |
3012
562.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1242
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
479
7.76 IPS |
|
|
Image Segmentation (Q)
|
97% |
1514
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8334
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
5198
6.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
8965
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
2836
225.0 IPS |
|
|
Object Detection (HP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (Q)
|
58% |
2221
242.6 IPS |
|
|
Face Detection (SP)
|
100% |
6234
74.1 IPS |
|
|
Face Detection (HP)
|
100% |
931
11.1 IPS |
|
|
Face Detection (Q)
|
96% |
5320
63.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8698
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1286
9.91 IPS |
|
|
Depth Estimation (Q)
|
78% |
7634
60.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16146
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12456
16.0 IPS |
|
|
Style Transfer (Q)
|
87% |
11836
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2142
79.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1638
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1808
67.0 IPS |
|
|
Text Classification (SP)
|
100% |
854
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
383
510.7 IPS |
|
|
Text Classification (Q)
|
97% |
688
921.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (Q)
|
68% |
1456
28.1 IPS |
