NZXT N7 B650E
Geekbench AI Score
23738
Single Precision Score
35234
Half Precision Score
13841
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tlgjaymz |
| Upload Date | January 31 2025 05:07 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | NZXT N7 B650E |
| Motherboard | NZXT N7 B650E |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8719
1.62 KIPS |
|
|
Image Classification (HP)
|
99% |
12585
2.35 KIPS |
|
|
Image Classification (Q)
|
100% |
5765
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17358
281.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24244
393.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10803
175.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
174791
204.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
375266
437.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
120156
140.8 IPS |
|
|
Object Detection (SP)
|
100% |
11854
940.3 IPS |
|
|
Object Detection (HP)
|
100% |
15076
1.20 KIPS |
|
|
Object Detection (Q)
|
85% |
7494
602.9 IPS |
|
|
Face Detection (SP)
|
100% |
31060
369.1 IPS |
|
|
Face Detection (HP)
|
100% |
49091
583.3 IPS |
|
|
Face Detection (Q)
|
97% |
20761
247.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
57968
446.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
107648
829.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
34393
275.4 IPS |
|
|
Style Transfer (SP)
|
100% |
265303
341.1 IPS |
|
|
Style Transfer (HP)
|
100% |
662566
851.7 IPS |
|
|
Style Transfer (Q)
|
98% |
179614
231.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40954
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56540
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19902
736.9 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3092
4.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1249
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4015
69.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2791
48.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1444
27.1 IPS |
