ASUS System Product Name
Geekbench AI Score
39283
Single Precision Score
66064
Half Precision Score
29500
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Veles_VR |
| Upload Date | November 28 2025 01:50 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% |
15216
2.83 KIPS |
|
|
Image Classification (HP)
|
100% |
22606
4.20 KIPS |
|
|
Image Classification (Q)
|
100% |
13297
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31376
508.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
46847
759.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
28227
459.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
246880
288.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
775465
904.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
210990
247.1 IPS |
|
|
Object Detection (SP)
|
100% |
19979
1.58 KIPS |
|
|
Object Detection (HP)
|
100% |
30652
2.43 KIPS |
|
|
Object Detection (Q)
|
86% |
17152
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
60692
721.1 IPS |
|
|
Face Detection (HP)
|
100% |
89711
1.07 KIPS |
|
|
Face Detection (Q)
|
97% |
49280
587.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
92842
715.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
177504
1.37 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68887
550.1 IPS |
|
|
Style Transfer (SP)
|
100% |
361373
464.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1178670
1.52 KIPS |
|
|
Style Transfer (Q)
|
98% |
308953
398.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58463
2.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87554
3.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43820
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3915
5.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4915
6.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2442
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
7974
137.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7790
134.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3275
61.4 IPS |
