CORSAIR CORSAIR VENGEANCE 6182
Geekbench AI Score
28174
Single Precision Score
42791
Half Precision Score
21844
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 11 2025 09:12 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | CORSAIR CORSAIR VENGEANCE 6182 |
| Motherboard | ASRock X570M Pro4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10779
2.00 KIPS |
|
|
Image Classification (HP)
|
99% |
15548
2.90 KIPS |
|
|
Image Classification (Q)
|
100% |
9574
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21053
341.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
28058
454.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18945
308.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
167527
195.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
434731
507.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
150455
176.3 IPS |
|
|
Object Detection (SP)
|
100% |
13655
1.08 KIPS |
|
|
Object Detection (HP)
|
100% |
20757
1.65 KIPS |
|
|
Object Detection (Q)
|
85% |
11639
937.0 IPS |
|
|
Face Detection (SP)
|
100% |
39285
466.8 IPS |
|
|
Face Detection (HP)
|
100% |
54226
644.3 IPS |
|
|
Face Detection (Q)
|
97% |
32913
392.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
69700
537.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
120044
927.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
54125
432.7 IPS |
|
|
Style Transfer (SP)
|
100% |
294910
379.1 IPS |
|
|
Style Transfer (HP)
|
100% |
703491
904.3 IPS |
|
|
Style Transfer (Q)
|
98% |
260012
335.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45152
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58255
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33368
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3570
4.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1923
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5471
94.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5491
94.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2621
49.2 IPS |
