ASUS System Product Name
Geekbench AI Score
45976
Single Precision Score
66190
Half Precision Score
34580
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | OmegaJose3691 |
| Upload Date | March 12 2025 01:09 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Ultimate Performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16860
3.14 KIPS |
|
|
Image Classification (HP)
|
100% |
21661
4.03 KIPS |
|
|
Image Classification (Q)
|
100% |
14832
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28233
457.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
33705
546.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
26639
433.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
411378
480.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
907447
1.06 KIPS |
|
|
Pose Estimation (Q)
|
96% |
326255
382.2 IPS |
|
|
Object Detection (SP)
|
100% |
22865
1.81 KIPS |
|
|
Object Detection (HP)
|
100% |
28725
2.28 KIPS |
|
|
Object Detection (Q)
|
85% |
19148
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
65563
779.0 IPS |
|
|
Face Detection (HP)
|
100% |
83565
992.9 IPS |
|
|
Face Detection (Q)
|
97% |
54033
644.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
114355
881.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
196745
1.52 KIPS |
|
|
Depth Estimation (Q)
|
77% |
82068
657.3 IPS |
|
|
Style Transfer (SP)
|
100% |
637434
819.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1647079
2.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
538961
695.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77421
2.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
99567
3.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54599
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
4287
5.72 KIPS |
|
|
Text Classification (HP)
|
100% |
5192
6.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2567
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5943
102.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6059
104.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2957
55.5 IPS |
