ASUS System Product Name
Geekbench AI Score
46399
Single Precision Score
68331
Half Precision Score
34672
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 07 2025 03:23 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17784
3.31 KIPS |
|
|
Image Classification (HP)
|
100% |
23369
4.35 KIPS |
|
|
Image Classification (Q)
|
100% |
15372
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27840
451.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
33864
549.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
26832
436.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
398668
465.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
887957
1.04 KIPS |
|
|
Pose Estimation (Q)
|
96% |
312341
365.9 IPS |
|
|
Object Detection (SP)
|
100% |
24316
1.93 KIPS |
|
|
Object Detection (HP)
|
100% |
31454
2.49 KIPS |
|
|
Object Detection (Q)
|
85% |
20255
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
66723
792.8 IPS |
|
|
Face Detection (HP)
|
100% |
87020
1.03 KIPS |
|
|
Face Detection (Q)
|
97% |
54578
650.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
111199
856.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
195788
1.51 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79773
638.9 IPS |
|
|
Style Transfer (SP)
|
100% |
610994
785.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1677446
2.16 KIPS |
|
|
Style Transfer (Q)
|
98% |
520464
671.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74444
2.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
100754
3.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54023
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
4650
6.21 KIPS |
|
|
Text Classification (HP)
|
100% |
5758
7.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2669
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
6141
105.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6056
104.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2945
55.2 IPS |
