QIYIDA
Geekbench AI Score
19039
Single Precision Score
27706
Half Precision Score
12383
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 01 2025 02:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| 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% |
5855
1.09 KIPS |
|
|
Image Classification (HP)
|
99% |
9536
1.78 KIPS |
|
|
Image Classification (Q)
|
100% |
5071
943.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
13546
219.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17161
278.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10121
164.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
126254
147.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
327875
382.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
103502
121.3 IPS |
|
|
Object Detection (SP)
|
100% |
9361
742.5 IPS |
|
|
Object Detection (HP)
|
100% |
11930
946.3 IPS |
|
|
Object Detection (Q)
|
85% |
6715
540.2 IPS |
|
|
Face Detection (SP)
|
100% |
23947
284.5 IPS |
|
|
Face Detection (HP)
|
100% |
30881
366.9 IPS |
|
|
Face Detection (Q)
|
97% |
17517
208.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
53906
415.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
80592
620.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
32860
263.3 IPS |
|
|
Style Transfer (SP)
|
100% |
223776
287.7 IPS |
|
|
Style Transfer (HP)
|
100% |
466023
599.1 IPS |
|
|
Style Transfer (Q)
|
98% |
167402
215.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29749
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37261
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16485
610.4 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
99% |
2818
3.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1109
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3482
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3419
58.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1350
25.3 IPS |
