ASUS System Product Name
Geekbench AI Score
44168
Single Precision Score
74189
Half Precision Score
32669
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | bagaget |
| Upload Date | May 30 2025 03:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17341
3.22 KIPS |
|
|
Image Classification (HP)
|
100% |
25254
4.70 KIPS |
|
|
Image Classification (Q)
|
100% |
14911
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34334
556.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
50944
825.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
30457
495.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
274289
320.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
846649
987.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
234064
274.2 IPS |
|
|
Object Detection (SP)
|
100% |
23146
1.84 KIPS |
|
|
Object Detection (HP)
|
100% |
34881
2.77 KIPS |
|
|
Object Detection (Q)
|
86% |
19446
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
68619
815.3 IPS |
|
|
Face Detection (HP)
|
100% |
101919
1.21 KIPS |
|
|
Face Detection (Q)
|
97% |
54658
651.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
105105
809.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
196580
1.51 KIPS |
|
|
Depth Estimation (Q)
|
78% |
76233
608.8 IPS |
|
|
Style Transfer (SP)
|
100% |
408104
524.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1317401
1.69 KIPS |
|
|
Style Transfer (Q)
|
98% |
350672
452.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
66176
2.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
102802
3.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49241
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
4476
5.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5695
7.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2709
3.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
8574
147.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8604
148.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3437
64.5 IPS |
