NZXT N7 B650E
Geekbench AI Score
22205
Single Precision Score
34379
Half Precision Score
13218
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 09:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | NZXT N7 B650E |
| Motherboard | NZXT N7 B650E |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8521
1.58 KIPS |
|
|
Image Classification (HP)
|
99% |
12078
2.25 KIPS |
|
|
Image Classification (Q)
|
100% |
5551
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15548
252.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22397
363.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11571
188.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
134467
156.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
376370
439.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
104537
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
10968
870.0 IPS |
|
|
Object Detection (HP)
|
100% |
16038
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
7061
565.3 IPS |
|
|
Face Detection (SP)
|
100% |
28320
336.5 IPS |
|
|
Face Detection (HP)
|
100% |
40977
486.9 IPS |
|
|
Face Detection (Q)
|
97% |
18429
219.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
53911
415.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
96429
742.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
31718
255.6 IPS |
|
|
Style Transfer (SP)
|
100% |
243891
313.5 IPS |
|
|
Style Transfer (HP)
|
100% |
588150
756.1 IPS |
|
|
Style Transfer (Q)
|
98% |
176543
227.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35293
1.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43803
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19189
710.5 IPS |
|
|
Text Classification (SP)
|
100% |
2707
3.61 KIPS |
|
|
Text Classification (HP)
|
99% |
3372
4.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1351
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4193
72.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4115
70.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1284
28.6 IPS |
