JGINYUE
Geekbench AI Score
8717
Single Precision Score
13563
Half Precision Score
6495
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| User | 46fy45 |
| Upload Date | November 17 2024 11:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 SUPER |
| 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% |
3744
696.3 IPS |
|
|
Image Classification (HP)
|
100% |
5673
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
2956
549.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4766
77.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5453
88.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4259
69.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
47984
56.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
149608
174.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
42467
49.7 IPS |
|
|
Object Detection (SP)
|
100% |
4693
372.2 IPS |
|
|
Object Detection (HP)
|
100% |
7060
560.0 IPS |
|
|
Object Detection (Q)
|
90% |
3586
286.8 IPS |
|
|
Face Detection (SP)
|
100% |
9864
117.2 IPS |
|
|
Face Detection (HP)
|
100% |
12862
152.8 IPS |
|
|
Face Detection (Q)
|
97% |
8097
96.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
25745
198.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
44768
344.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
18564
149.2 IPS |
|
|
Style Transfer (SP)
|
100% |
88047
113.2 IPS |
|
|
Style Transfer (HP)
|
100% |
199889
257.0 IPS |
|
|
Style Transfer (Q)
|
98% |
75636
97.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15114
558.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22532
832.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9873
365.6 IPS |
|
|
Text Classification (SP)
|
100% |
1314
1.75 KIPS |
|
|
Text Classification (HP)
|
99% |
1759
2.35 KIPS |
|
|
Text Classification (Q)
|
97% |
847
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1414
24.4 IPS |
|
|
Machine Translation (Q)
|
60% |
733
16.4 IPS |
