ASUS System Product Name
Geekbench AI Score
32741
Single Precision Score
54637
Half Precision Score
25264
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Freakshow85 |
| Upload Date | January 13 2026 02:26 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING WIFI II |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13039
2.42 KIPS |
|
|
Image Classification (HP)
|
100% |
18558
3.45 KIPS |
|
|
Image Classification (Q)
|
100% |
11564
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24393
395.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
34154
553.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
21720
353.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
182608
213.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
698314
814.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
163437
191.4 IPS |
|
|
Object Detection (SP)
|
100% |
17221
1.37 KIPS |
|
|
Object Detection (HP)
|
100% |
26500
2.10 KIPS |
|
|
Object Detection (Q)
|
86% |
14373
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
51393
610.7 IPS |
|
|
Face Detection (HP)
|
100% |
73336
871.4 IPS |
|
|
Face Detection (Q)
|
97% |
42399
505.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
87371
673.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
149004
1.15 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66180
528.5 IPS |
|
|
Style Transfer (SP)
|
100% |
321821
413.7 IPS |
|
|
Style Transfer (HP)
|
100% |
992066
1.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
268135
345.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46201
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74135
2.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36230
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3802
5.07 KIPS |
|
|
Text Classification (Q)
|
97% |
2197
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
6608
113.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6615
113.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2999
56.2 IPS |
