QIYIDA
Geekbench AI Score
3140
Single Precision Score
1027
Half Precision Score
2709
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Androm153 |
| Upload Date | April 30 2025 10:50 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 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 E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2846
529.2 IPS |
|
|
Image Classification (HP)
|
100% |
312
57.9 IPS |
|
|
Image Classification (Q)
|
96% |
2947
550.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
509
8.25 IPS |
|
|
Image Segmentation (Q)
|
97% |
1464
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6420
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
4793
5.59 IPS |
|
|
Pose Estimation (Q)
|
86% |
7366
8.71 IPS |
|
|
Object Detection (SP)
|
100% |
2582
204.8 IPS |
|
|
Object Detection (HP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (Q)
|
58% |
2001
218.7 IPS |
|
|
Face Detection (SP)
|
100% |
5008
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
953
11.3 IPS |
|
|
Face Detection (Q)
|
96% |
5079
60.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7203
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1270
9.79 IPS |
|
|
Depth Estimation (Q)
|
78% |
6397
51.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13050
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12140
15.6 IPS |
|
|
Style Transfer (Q)
|
87% |
10957
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2205
81.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1727
63.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1805
66.9 IPS |
|
|
Text Classification (SP)
|
100% |
937
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
421
562.2 IPS |
|
|
Text Classification (Q)
|
97% |
306
409.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1549
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
397
6.84 IPS |
|
|
Machine Translation (Q)
|
68% |
1705
32.9 IPS |
