ASUS System Product Name
Geekbench AI Score
19355
Single Precision Score
23079
Half Precision Score
16309
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 02:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel N (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-PLUS |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7121
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7819
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
6648
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6439
104.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6680
108.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6281
102.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
243474
284.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
376223
439.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
211720
248.0 IPS |
|
|
Object Detection (SP)
|
100% |
7641
606.1 IPS |
|
|
Object Detection (HP)
|
100% |
8196
650.1 IPS |
|
|
Object Detection (Q)
|
85% |
7045
567.6 IPS |
|
|
Face Detection (SP)
|
100% |
16531
196.4 IPS |
|
|
Face Detection (HP)
|
100% |
17420
207.0 IPS |
|
|
Face Detection (Q)
|
97% |
15490
184.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
67178
517.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
92382
711.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
53132
425.6 IPS |
|
|
Style Transfer (SP)
|
100% |
338124
434.7 IPS |
|
|
Style Transfer (HP)
|
100% |
538905
692.8 IPS |
|
|
Style Transfer (Q)
|
98% |
303727
391.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40396
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46435
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33282
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4009
5.35 KIPS |
|
|
Text Classification (Q)
|
97% |
2134
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1622
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1649
28.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1204
22.6 IPS |
