ASUS System Product Name
Geekbench AI Score
37864
Single Precision Score
63263
Half Precision Score
28807
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Aaronage |
| Upload Date | February 09 2026 10:24 AM |
| Views | 9 |
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 STRIX X870-I GAMING WIFI |
| Power Plan | High performance |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15246
2.84 KIPS |
|
|
Image Classification (HP)
|
100% |
22392
4.16 KIPS |
|
|
Image Classification (Q)
|
100% |
13313
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25752
417.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
35882
581.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
24485
398.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
241409
281.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
741438
865.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
203306
238.1 IPS |
|
|
Object Detection (SP)
|
100% |
20812
1.65 KIPS |
|
|
Object Detection (HP)
|
100% |
31989
2.54 KIPS |
|
|
Object Detection (Q)
|
86% |
17723
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
57051
677.9 IPS |
|
|
Face Detection (HP)
|
100% |
81406
967.3 IPS |
|
|
Face Detection (Q)
|
97% |
46676
556.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
94448
727.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
176759
1.36 KIPS |
|
|
Depth Estimation (Q)
|
78% |
69669
556.3 IPS |
|
|
Style Transfer (SP)
|
100% |
353486
454.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1169245
1.50 KIPS |
|
|
Style Transfer (Q)
|
98% |
307569
396.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58315
2.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91869
3.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44520
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
4110
5.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5170
6.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2507
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
6727
115.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6744
116.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3002
56.3 IPS |
