ASUS System Product Name
Geekbench AI Score
28533
Single Precision Score
43752
Half Precision Score
21685
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 05:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10939
2.03 KIPS |
|
|
Image Classification (HP)
|
99% |
16948
3.16 KIPS |
|
|
Image Classification (Q)
|
100% |
9687
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21450
347.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
29083
471.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19330
314.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
149615
174.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
359525
419.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
133233
156.1 IPS |
|
|
Object Detection (SP)
|
100% |
14251
1.13 KIPS |
|
|
Object Detection (HP)
|
100% |
23276
1.85 KIPS |
|
|
Object Detection (Q)
|
85% |
12106
974.6 IPS |
|
|
Face Detection (SP)
|
100% |
38907
462.3 IPS |
|
|
Face Detection (HP)
|
100% |
57627
684.7 IPS |
|
|
Face Detection (Q)
|
97% |
32572
388.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
65842
507.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
109586
844.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
51767
413.4 IPS |
|
|
Style Transfer (SP)
|
100% |
267558
343.9 IPS |
|
|
Style Transfer (HP)
|
100% |
588488
756.5 IPS |
|
|
Style Transfer (Q)
|
98% |
236211
304.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47626
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59374
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33173
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3595
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
4567
6.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2207
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
6094
105.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6184
106.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2611
49.0 IPS |
