JGINYUE B650I Night Devil
Geekbench AI Score
25201
Single Precision Score
37951
Half Precision Score
15205
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | originaldudu |
| Upload Date | January 06 2025 12:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | JGINYUE B650I Night Devil |
| Motherboard | JGINYUE B650I Night Devil |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9810
1.82 KIPS |
|
|
Image Classification (HP)
|
99% |
13700
2.56 KIPS |
|
|
Image Classification (Q)
|
100% |
6552
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16438
266.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22853
370.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11884
193.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
172066
200.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
358231
418.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
128291
150.3 IPS |
|
|
Object Detection (SP)
|
100% |
12781
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
18122
1.44 KIPS |
|
|
Object Detection (Q)
|
85% |
8573
689.6 IPS |
|
|
Face Detection (SP)
|
100% |
34061
404.7 IPS |
|
|
Face Detection (HP)
|
100% |
48112
571.7 IPS |
|
|
Face Detection (Q)
|
97% |
22340
266.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
60628
467.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
108660
837.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
36122
289.3 IPS |
|
|
Style Transfer (SP)
|
100% |
269373
346.3 IPS |
|
|
Style Transfer (HP)
|
100% |
650618
836.4 IPS |
|
|
Style Transfer (Q)
|
98% |
194066
250.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39861
1.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55131
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22035
815.9 IPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
3729
4.98 KIPS |
|
|
Text Classification (Q)
|
97% |
1453
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4427
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4361
75.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1539
28.9 IPS |
