ONNX DirectML RX7900XTX ASUS System Product Name
Geekbench AI Score
39320
Single Precision Score
46812
Half Precision Score
31437
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | SybrenV |
| Upload Date | August 05 2025 08:02 PM |
| Views | 14 |
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 | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17169
3.19 KIPS |
|
|
Image Classification (HP)
|
100% |
17604
3.27 KIPS |
|
|
Image Classification (Q)
|
99% |
14805
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26971
437.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24761
401.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
24432
397.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
295665
345.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
522408
609.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
262104
307.0 IPS |
|
|
Object Detection (SP)
|
100% |
19280
1.53 KIPS |
|
|
Object Detection (HP)
|
99% |
21138
1.68 KIPS |
|
|
Object Detection (Q)
|
87% |
16953
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
50734
602.8 IPS |
|
|
Face Detection (HP)
|
100% |
56928
676.4 IPS |
|
|
Face Detection (Q)
|
97% |
44969
536.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
81399
627.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
107569
828.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
67928
544.4 IPS |
|
|
Style Transfer (SP)
|
100% |
468425
602.2 IPS |
|
|
Style Transfer (HP)
|
100% |
730586
939.2 IPS |
|
|
Style Transfer (Q)
|
98% |
412649
532.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53963
1.99 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71683
2.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42700
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
4848
6.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4677
6.24 KIPS |
|
|
Text Classification (Q)
|
97% |
3083
4.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6613
113.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7000
120.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3535
66.3 IPS |
