ASUS System Product Name
Geekbench AI Score
18204
Single Precision Score
27165
Half Precision Score
12074
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 01 2026 12:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA TITAN RTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-E GAMING |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7174
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
10100
1.88 KIPS |
|
|
Image Classification (Q)
|
100% |
5154
958.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
11352
184.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14282
231.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8876
144.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
126006
147.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
278847
325.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
98413
115.3 IPS |
|
|
Object Detection (SP)
|
100% |
8974
711.9 IPS |
|
|
Object Detection (HP)
|
100% |
12430
985.9 IPS |
|
|
Object Detection (Q)
|
85% |
6638
534.4 IPS |
|
|
Face Detection (SP)
|
100% |
22358
265.7 IPS |
|
|
Face Detection (HP)
|
100% |
31041
368.8 IPS |
|
|
Face Detection (Q)
|
97% |
16765
199.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
49658
382.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
77254
595.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
31179
249.8 IPS |
|
|
Style Transfer (SP)
|
100% |
195883
251.8 IPS |
|
|
Style Transfer (HP)
|
100% |
421379
541.7 IPS |
|
|
Style Transfer (Q)
|
98% |
148956
192.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31455
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43455
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18174
673.0 IPS |
|
|
Text Classification (SP)
|
100% |
2002
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1166
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3170
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1336
25.1 IPS |
