ASUS System Product Name
Geekbench AI Score
36325
Single Precision Score
64442
Half Precision Score
26955
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 22 2025 10:18 AM |
| Views | 16 |
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. TUF GAMING B850M-PLUS WIFI |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14748
2.74 KIPS |
|
|
Image Classification (HP)
|
100% |
23243
4.32 KIPS |
|
|
Image Classification (Q)
|
100% |
12952
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28435
461.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
44278
717.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
25106
408.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
180493
210.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
722261
842.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
161164
188.8 IPS |
|
|
Object Detection (SP)
|
100% |
19063
1.51 KIPS |
|
|
Object Detection (HP)
|
100% |
32819
2.60 KIPS |
|
|
Object Detection (Q)
|
86% |
15630
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
56710
673.8 IPS |
|
|
Face Detection (HP)
|
100% |
83313
989.9 IPS |
|
|
Face Detection (Q)
|
97% |
45600
543.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
89310
688.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
154829
1.19 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66455
530.7 IPS |
|
|
Style Transfer (SP)
|
100% |
329434
423.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1092508
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
273245
352.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50815
1.88 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87227
3.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38306
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4162
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5160
6.89 KIPS |
|
|
Text Classification (Q)
|
97% |
2419
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
7856
135.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7982
137.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3223
60.5 IPS |
