ASRock X670E Pro RS
Geekbench AI Score
39125
Single Precision Score
43569
Half Precision Score
29993
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | BenchMan2002 |
| Upload Date | August 21 2025 07:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X670E Pro RS |
| Motherboard | ASRock X670E Pro RS |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15802
2.94 KIPS |
|
|
Image Classification (HP)
|
100% |
17415
3.24 KIPS |
|
|
Image Classification (Q)
|
99% |
13495
2.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27776
450.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
25180
408.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
25181
409.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
301614
351.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
423777
494.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
264952
310.4 IPS |
|
|
Object Detection (SP)
|
100% |
19981
1.58 KIPS |
|
|
Object Detection (HP)
|
99% |
20609
1.63 KIPS |
|
|
Object Detection (Q)
|
87% |
16036
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
51259
609.1 IPS |
|
|
Face Detection (HP)
|
100% |
56442
670.7 IPS |
|
|
Face Detection (Q)
|
97% |
44809
534.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
84615
651.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100855
777.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
61620
493.8 IPS |
|
|
Style Transfer (SP)
|
100% |
476053
612.0 IPS |
|
|
Style Transfer (HP)
|
100% |
672423
864.4 IPS |
|
|
Style Transfer (Q)
|
98% |
416516
537.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54439
2.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58501
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40631
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
4368
5.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4305
5.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2772
3.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
6472
111.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6677
115.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3151
59.1 IPS |
