HUANANZHI X99-QD4
Geekbench AI Score
3830
Single Precision Score
1024
Half Precision Score
3369
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 06:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2698 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HUANANZHI X99-QD4 |
| Motherboard | HUANANZHI X99-QD4 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2698 v4 |
| Topology | 1 Processor, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3190
593.2 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.2 IPS |
|
|
Image Classification (Q)
|
96% |
3285
613.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
483
7.84 IPS |
|
|
Image Segmentation (Q)
|
97% |
1636
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9843
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5634
6.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
9558
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
3205
254.2 IPS |
|
|
Object Detection (HP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (Q)
|
58% |
2449
267.6 IPS |
|
|
Face Detection (SP)
|
100% |
8179
97.2 IPS |
|
|
Face Detection (HP)
|
100% |
963
11.4 IPS |
|
|
Face Detection (Q)
|
96% |
5896
70.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9716
74.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1298
10.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
8356
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19413
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12750
16.4 IPS |
|
|
Style Transfer (Q)
|
87% |
13202
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2292
84.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1692
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1864
69.1 IPS |
|
|
Text Classification (SP)
|
100% |
873
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
389
519.4 IPS |
|
|
Text Classification (Q)
|
97% |
721
966.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1473
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.50 IPS |
|
|
Machine Translation (Q)
|
68% |
1715
33.1 IPS |
