ASUS System Product Name
Geekbench AI Score
33517
Single Precision Score
49914
Half Precision Score
25626
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | fallenursus |
| Upload Date | November 19 2025 03:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-A GAMING WIFI |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12720
2.37 KIPS |
|
|
Image Classification (HP)
|
99% |
17656
3.29 KIPS |
|
|
Image Classification (Q)
|
100% |
11027
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20068
325.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
30669
497.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
21578
350.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
241193
281.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
499618
583.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
216130
253.2 IPS |
|
|
Object Detection (SP)
|
100% |
16625
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
23124
1.83 KIPS |
|
|
Object Detection (Q)
|
85% |
14270
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
49733
590.9 IPS |
|
|
Face Detection (HP)
|
100% |
65949
783.6 IPS |
|
|
Face Detection (Q)
|
97% |
41994
500.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
83286
641.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
148158
1.14 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63420
506.5 IPS |
|
|
Style Transfer (SP)
|
100% |
379937
488.4 IPS |
|
|
Style Transfer (HP)
|
100% |
878128
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
335705
432.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53219
1.97 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71602
2.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40488
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
3511
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4236
5.65 KIPS |
|
|
Text Classification (Q)
|
97% |
2141
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5945
102.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5897
101.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2148
40.3 IPS |
