ASUS System Product Name
Geekbench AI Score
39288
Single Precision Score
65854
Half Precision Score
29560
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Veles_VR |
| Upload Date | November 28 2025 01:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-A WIFI II |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15053
2.80 KIPS |
|
|
Image Classification (HP)
|
100% |
22169
4.12 KIPS |
|
|
Image Classification (Q)
|
100% |
13269
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31146
504.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
47004
762.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
28221
458.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
247031
288.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
776807
906.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
210488
246.6 IPS |
|
|
Object Detection (SP)
|
100% |
20124
1.60 KIPS |
|
|
Object Detection (HP)
|
100% |
30736
2.44 KIPS |
|
|
Object Detection (Q)
|
86% |
17148
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
60618
720.3 IPS |
|
|
Face Detection (HP)
|
100% |
87995
1.05 KIPS |
|
|
Face Detection (Q)
|
97% |
49093
585.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
93111
717.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
175479
1.35 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68915
550.3 IPS |
|
|
Style Transfer (SP)
|
100% |
359838
462.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1180387
1.52 KIPS |
|
|
Style Transfer (Q)
|
98% |
311486
401.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58701
2.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87508
3.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43916
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
3957
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4932
6.58 KIPS |
|
|
Text Classification (Q)
|
97% |
2479
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
7969
137.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7838
135.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3286
61.6 IPS |
