QIYIDA 2695 QIYIDA
Geekbench AI Score
3140
Single Precision Score
917
Half Precision Score
2584
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Androm153 |
| Upload Date | May 23 2025 08:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2695 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | QIYIDA |
| Motherboard | QIYIDA X99 K9S |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2695 v4 |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2938
546.3 IPS |
|
|
Image Classification (HP)
|
100% |
281
52.3 IPS |
|
|
Image Classification (Q)
|
96% |
2951
551.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
451
7.31 IPS |
|
|
Image Segmentation (Q)
|
97% |
1408
22.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7901
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
4966
5.79 IPS |
|
|
Pose Estimation (Q)
|
86% |
8359
9.88 IPS |
|
|
Object Detection (SP)
|
100% |
2851
226.1 IPS |
|
|
Object Detection (HP)
|
100% |
340
27.0 IPS |
|
|
Object Detection (Q)
|
58% |
1782
194.7 IPS |
|
|
Face Detection (SP)
|
100% |
5416
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
769
9.14 IPS |
|
|
Face Detection (Q)
|
96% |
4471
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7824
60.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1211
9.33 IPS |
|
|
Depth Estimation (Q)
|
78% |
7239
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13392
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11152
14.3 IPS |
|
|
Style Transfer (Q)
|
87% |
11071
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1997
73.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1575
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1639
60.7 IPS |
|
|
Text Classification (SP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
351
469.0 IPS |
|
|
Text Classification (Q)
|
97% |
258
345.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (Q)
|
68% |
1419
27.4 IPS |
