ASUS System Product Name
Geekbench AI Score
3906
Single Precision Score
1115
Half Precision Score
6275
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | oscarbg81 |
| Upload Date | September 11 2024 08:15 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Ubuntu Oracular Oriole (development branch) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.88 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 89.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1528
284.1 IPS |
|
|
Image Classification (HP)
|
100% |
258
48.1 IPS |
|
|
Image Classification (Q)
|
97% |
5060
944.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
356
5.78 IPS |
|
|
Image Segmentation (Q)
|
99% |
3424
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15166
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9652
11.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
44486
52.1 IPS |
|
|
Object Detection (SP)
|
100% |
1940
153.9 IPS |
|
|
Object Detection (HP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (Q)
|
88% |
2495
200.0 IPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
484
5.75 IPS |
|
|
Face Detection (Q)
|
97% |
6149
73.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8124
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1337
10.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
9514
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18800
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17290
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27961
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2722
100.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2161
79.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5268
195.1 IPS |
|
|
Text Classification (SP)
|
100% |
1924
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
564
752.9 IPS |
|
|
Text Classification (Q)
|
97% |
1478
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2941
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.2 IPS |
|
|
Machine Translation (Q)
|
60% |
3869
86.3 IPS |
