ASUS System Product Name
Geekbench AI Score
25898
Single Precision Score
39594
Half Precision Score
19651
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | oscarbg81 |
| Upload Date | September 11 2024 08:50 PM |
| Views | 7 |
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% |
10067
1.87 KIPS |
|
|
Image Classification (HP)
|
99% |
15416
2.88 KIPS |
|
|
Image Classification (Q)
|
100% |
8762
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17965
291.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23391
379.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16662
270.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
147568
172.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
348013
406.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
132604
155.3 IPS |
|
|
Object Detection (SP)
|
100% |
12822
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
20177
1.60 KIPS |
|
|
Object Detection (Q)
|
88% |
10371
831.7 IPS |
|
|
Face Detection (SP)
|
100% |
30826
366.3 IPS |
|
|
Face Detection (HP)
|
100% |
45697
543.0 IPS |
|
|
Face Detection (Q)
|
97% |
25392
302.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
58805
453.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
106277
818.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
45940
369.5 IPS |
|
|
Style Transfer (SP)
|
100% |
257101
330.5 IPS |
|
|
Style Transfer (HP)
|
100% |
588225
756.2 IPS |
|
|
Style Transfer (Q)
|
98% |
231070
298.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46806
1.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57270
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33140
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3566
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4407
5.88 KIPS |
|
|
Text Classification (Q)
|
97% |
2249
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5100
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5187
89.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2130
47.5 IPS |
