ASRock X670E Pro RS
Geekbench AI Score
33147
Single Precision Score
39298
Half Precision Score
26770
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 07:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X670E Pro RS |
| Motherboard | ASRock X670E Pro RS |
| Power Plan | Ausbalanciert |
| 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% |
13859
2.58 KIPS |
|
|
Image Classification (HP)
|
100% |
15139
2.82 KIPS |
|
|
Image Classification (Q)
|
99% |
12394
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21308
345.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18975
307.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19447
316.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
258683
301.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
458528
535.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
231831
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
16385
1.30 KIPS |
|
|
Object Detection (HP)
|
99% |
17890
1.42 KIPS |
|
|
Object Detection (Q)
|
87% |
14748
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
44366
527.2 IPS |
|
|
Face Detection (HP)
|
100% |
49217
584.8 IPS |
|
|
Face Detection (Q)
|
97% |
39933
476.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
79983
616.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95270
734.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
64384
516.0 IPS |
|
|
Style Transfer (SP)
|
100% |
420340
540.4 IPS |
|
|
Style Transfer (HP)
|
100% |
637298
819.3 IPS |
|
|
Style Transfer (Q)
|
98% |
360861
465.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46090
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62902
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36638
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
3934
5.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4082
5.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2587
3.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4731
81.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4859
83.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2609
48.9 IPS |
