ASUS System Product Name
Geekbench AI Score
34276
Single Precision Score
51017
Half Precision Score
25956
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | December 13 2024 06:58 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-I GAMING WIFI |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13324
2.48 KIPS |
|
|
Image Classification (HP)
|
99% |
18817
3.51 KIPS |
|
|
Image Classification (Q)
|
100% |
11322
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21154
342.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
27077
438.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
20118
327.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
259005
302.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
520163
606.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
229585
268.8 IPS |
|
|
Object Detection (SP)
|
100% |
16667
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
24697
1.96 KIPS |
|
|
Object Detection (Q)
|
89% |
13453
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
45374
539.1 IPS |
|
|
Face Detection (HP)
|
100% |
57453
682.7 IPS |
|
|
Face Detection (Q)
|
97% |
37879
451.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
77773
599.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
153281
1.18 KIPS |
|
|
Depth Estimation (Q)
|
76% |
59144
476.5 IPS |
|
|
Style Transfer (SP)
|
100% |
402287
517.1 IPS |
|
|
Style Transfer (HP)
|
100% |
940138
1.21 KIPS |
|
|
Style Transfer (Q)
|
98% |
355620
458.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57423
2.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79097
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43605
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
4068
5.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5060
6.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2432
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5548
95.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5507
94.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2336
52.1 IPS |
