ASUS System Product Name
Geekbench AI Score
26348
Single Precision Score
39835
Half Precision Score
20486
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | oscarbg81 |
| Upload Date | December 07 2024 09:04 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| Power Plan | Equilibrado |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10504
1.95 KIPS |
|
|
Image Classification (HP)
|
99% |
16009
2.99 KIPS |
|
|
Image Classification (Q)
|
100% |
9338
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18114
293.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23293
377.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16539
268.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
151439
176.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
349600
407.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
135096
158.3 IPS |
|
|
Object Detection (SP)
|
100% |
13175
1.05 KIPS |
|
|
Object Detection (HP)
|
100% |
20720
1.64 KIPS |
|
|
Object Detection (Q)
|
85% |
11335
912.5 IPS |
|
|
Face Detection (SP)
|
100% |
34645
411.7 IPS |
|
|
Face Detection (HP)
|
100% |
49800
591.7 IPS |
|
|
Face Detection (Q)
|
97% |
29588
352.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
58538
451.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105210
812.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
46934
376.9 IPS |
|
|
Style Transfer (SP)
|
100% |
261598
336.3 IPS |
|
|
Style Transfer (HP)
|
100% |
575846
740.3 IPS |
|
|
Style Transfer (Q)
|
98% |
236457
304.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46169
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56084
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33355
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3493
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4262
5.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2161
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4965
85.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5166
89.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2326
43.6 IPS |
