ASUS System Product Name
Geekbench AI Score
27465
Single Precision Score
41135
Half Precision Score
21013
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 02:43 PM |
| Views | 2 |
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. ProArt X670E-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10213
1.90 KIPS |
|
|
Image Classification (HP)
|
99% |
15484
2.89 KIPS |
|
|
Image Classification (Q)
|
100% |
9128
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20492
332.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
27574
447.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18172
295.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
152708
178.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
352367
411.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
136304
159.7 IPS |
|
|
Object Detection (SP)
|
100% |
13188
1.05 KIPS |
|
|
Object Detection (HP)
|
100% |
20630
1.64 KIPS |
|
|
Object Detection (Q)
|
85% |
11434
920.5 IPS |
|
|
Face Detection (SP)
|
100% |
36785
437.1 IPS |
|
|
Face Detection (HP)
|
100% |
52494
623.7 IPS |
|
|
Face Detection (Q)
|
97% |
31457
375.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
65148
501.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
107669
829.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
51441
410.7 IPS |
|
|
Style Transfer (SP)
|
100% |
266886
343.1 IPS |
|
|
Style Transfer (HP)
|
100% |
570989
734.0 IPS |
|
|
Style Transfer (Q)
|
98% |
237360
306.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45796
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56325
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32428
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3448
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
4196
5.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2127
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5738
98.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5861
101.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2451
46.0 IPS |
