JGINYUE
Geekbench AI Score
981
Single Precision Score
506
Half Precision Score
954
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| User | 46fy45 |
| Upload Date | November 17 2024 11:28 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2697 v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | JGINYUE |
| Motherboard | JGINYUE X79M-PLUS |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697 v2 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
542
100.8 IPS |
|
|
Image Classification (HP)
|
100% |
177
32.9 IPS |
|
|
Image Classification (Q)
|
96% |
911
170.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
519
8.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
296
4.79 IPS |
|
|
Image Segmentation (Q)
|
97% |
541
8.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
1700
1.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
1417
1.65 IPS |
|
|
Pose Estimation (Q)
|
87% |
2441
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
626
49.7 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
90% |
612
48.9 IPS |
|
|
Face Detection (SP)
|
100% |
1131
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
556
6.60 IPS |
|
|
Face Detection (Q)
|
96% |
1351
16.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2036
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
725
5.59 IPS |
|
|
Depth Estimation (Q)
|
78% |
1721
13.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4049
5.20 IPS |
|
|
Style Transfer (HP)
|
100% |
3818
4.91 IPS |
|
|
Style Transfer (Q)
|
87% |
4629
6.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
832
30.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
693
25.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
954
35.4 IPS |
|
|
Text Classification (SP)
|
100% |
522
697.2 IPS |
|
|
Text Classification (HP)
|
100% |
247
329.1 IPS |
|
|
Text Classification (Q)
|
97% |
204
273.6 IPS |
|
|
Machine Translation (SP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.23 IPS |
|
|
Machine Translation (Q)
|
60% |
405
9.03 IPS |
