ASUS System Product Name
Geekbench AI Score
18630
Single Precision Score
29590
Half Precision Score
11827
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 11:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-E |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7672
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
10932
2.03 KIPS |
|
|
Image Classification (Q)
|
99% |
5303
989.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
13299
215.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18537
300.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9827
159.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
98437
114.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
293446
342.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
77738
91.1 IPS |
|
|
Object Detection (SP)
|
100% |
9558
758.1 IPS |
|
|
Object Detection (HP)
|
100% |
13987
1.11 KIPS |
|
|
Object Detection (Q)
|
85% |
6757
543.9 IPS |
|
|
Face Detection (SP)
|
100% |
23968
284.8 IPS |
|
|
Face Detection (HP)
|
100% |
36420
432.8 IPS |
|
|
Face Detection (Q)
|
97% |
17309
206.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
47851
368.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
77750
599.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
29553
236.8 IPS |
|
|
Style Transfer (SP)
|
100% |
190908
245.4 IPS |
|
|
Style Transfer (HP)
|
100% |
419235
538.9 IPS |
|
|
Style Transfer (Q)
|
98% |
142460
183.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30562
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41492
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16684
617.8 IPS |
|
|
Text Classification (SP)
|
100% |
2028
2.71 KIPS |
|
|
Text Classification (HP)
|
99% |
3259
4.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1128
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3867
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3854
66.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1427
26.8 IPS |
