QIYIDA
Geekbench AI Score
2845
Single Precision Score
1135
Half Precision Score
3014
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 01 2025 02:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2667 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | QIYIDA |
| Motherboard | QIYIDA X99-D4 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2667 v4 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2533
471.1 IPS |
|
|
Image Classification (HP)
|
100% |
387
72.0 IPS |
|
|
Image Classification (Q)
|
96% |
2414
450.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
604
9.79 IPS |
|
|
Image Segmentation (Q)
|
97% |
2984
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5105
5.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
4138
4.83 IPS |
|
|
Pose Estimation (Q)
|
86% |
5609
6.63 IPS |
|
|
Object Detection (SP)
|
100% |
2193
173.9 IPS |
|
|
Object Detection (HP)
|
100% |
510
40.5 IPS |
|
|
Object Detection (Q)
|
58% |
1707
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
3758
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (Q)
|
96% |
4742
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6409
49.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1535
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
5747
45.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11026
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9326
12.0 IPS |
|
|
Style Transfer (Q)
|
87% |
8996
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2011
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1613
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2385
88.4 IPS |
|
|
Text Classification (SP)
|
100% |
1225
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
562
749.8 IPS |
|
|
Text Classification (Q)
|
97% |
902
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1470
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
518
8.93 IPS |
|
|
Machine Translation (Q)
|
68% |
1704
32.9 IPS |
