NZXT N7 B650E
Geekbench AI Score
21910
Single Precision Score
24539
Half Precision Score
16325
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 08:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 |
| 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% |
9263
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
9078
1.69 KIPS |
|
|
Image Classification (Q)
|
100% |
7445
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16289
264.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12914
209.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13478
219.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
119543
139.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
202040
235.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
105591
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
10144
804.6 IPS |
|
|
Object Detection (HP)
|
100% |
10268
814.5 IPS |
|
|
Object Detection (Q)
|
89% |
8155
653.1 IPS |
|
|
Face Detection (SP)
|
100% |
29347
348.7 IPS |
|
|
Face Detection (HP)
|
100% |
31543
374.8 IPS |
|
|
Face Detection (Q)
|
97% |
21636
258.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
53455
411.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
58343
449.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
39666
319.8 IPS |
|
|
Style Transfer (SP)
|
100% |
242976
312.3 IPS |
|
|
Style Transfer (HP)
|
100% |
325149
418.0 IPS |
|
|
Style Transfer (Q)
|
98% |
196028
252.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34996
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41039
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25088
929.0 IPS |
|
|
Text Classification (SP)
|
100% |
2156
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2703
3.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1601
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4845
83.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4905
84.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2304
51.4 IPS |
