HUANANZHI
Geekbench AI Score
3408
Single Precision Score
1002
Half Precision Score
3104
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 09:59 AM |
| 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 |
| 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% |
3006
558.9 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.1 IPS |
|
|
Image Classification (Q)
|
96% |
3000
560.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
483
7.83 IPS |
|
|
Image Segmentation (Q)
|
97% |
1610
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8653
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5354
6.25 IPS |
|
|
Pose Estimation (Q)
|
86% |
8981
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
2890
229.2 IPS |
|
|
Object Detection (HP)
|
100% |
390
31.0 IPS |
|
|
Object Detection (Q)
|
58% |
2220
242.6 IPS |
|
|
Face Detection (SP)
|
100% |
6377
75.8 IPS |
|
|
Face Detection (HP)
|
100% |
942
11.2 IPS |
|
|
Face Detection (Q)
|
96% |
5302
63.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8822
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1292
9.96 IPS |
|
|
Depth Estimation (Q)
|
78% |
7592
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16624
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12364
15.9 IPS |
|
|
Style Transfer (Q)
|
87% |
11650
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2164
79.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1686
62.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1790
66.3 IPS |
|
|
Text Classification (SP)
|
100% |
854
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
381
508.5 IPS |
|
|
Text Classification (Q)
|
97% |
694
930.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (Q)
|
68% |
1481
28.6 IPS |
