ASUS System Product Name
Geekbench AI Score
38672
Single Precision Score
44838
Half Precision Score
29845
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 01 2025 02:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon PRO W7900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16537
3.08 KIPS |
|
|
Image Classification (HP)
|
100% |
16590
3.09 KIPS |
|
|
Image Classification (Q)
|
99% |
13967
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27282
442.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24238
392.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
24542
399.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
266888
311.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
496047
578.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
223394
261.7 IPS |
|
|
Object Detection (SP)
|
100% |
20657
1.64 KIPS |
|
|
Object Detection (HP)
|
99% |
19629
1.56 KIPS |
|
|
Object Detection (Q)
|
87% |
17635
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
51556
612.6 IPS |
|
|
Face Detection (HP)
|
100% |
58047
689.7 IPS |
|
|
Face Detection (Q)
|
97% |
44029
525.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
82265
633.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97748
753.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
66638
534.0 IPS |
|
|
Style Transfer (SP)
|
100% |
452780
582.1 IPS |
|
|
Style Transfer (HP)
|
100% |
730209
938.7 IPS |
|
|
Style Transfer (Q)
|
98% |
402717
519.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53417
1.97 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69324
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42881
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
4463
5.96 KIPS |
|
|
Text Classification (HP)
|
100% |
4333
5.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2739
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
6570
113.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6741
116.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2992
56.1 IPS |
