ASUS System Product Name
Geekbench AI Score
2637
Single Precision Score
2644
Half Precision Score
2375
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | oscarbg81 |
| Upload Date | December 07 2024 07:30 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| 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 | 91.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1744
324.3 IPS |
|
|
Image Classification (HP)
|
100% |
1745
324.5 IPS |
|
|
Image Classification (Q)
|
99% |
1633
304.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3221
52.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3242
52.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1547
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3767
4.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3838
4.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
6321
7.41 IPS |
|
|
Object Detection (SP)
|
100% |
1979
157.0 IPS |
|
|
Object Detection (HP)
|
100% |
1998
158.5 IPS |
|
|
Object Detection (Q)
|
85% |
2002
161.1 IPS |
|
|
Face Detection (SP)
|
100% |
2937
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
2943
35.0 IPS |
|
|
Face Detection (Q)
|
97% |
3411
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2996
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3006
23.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2898
27.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3910
5.03 IPS |
|
|
Style Transfer (HP)
|
100% |
3902
5.02 IPS |
|
|
Style Transfer (Q)
|
98% |
8862
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1812
66.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1808
66.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2572
95.3 IPS |
|
|
Text Classification (SP)
|
100% |
1794
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1785
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
950
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3474
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3459
59.6 IPS |
|
|
Machine Translation (Q)
|
58% |
837
19.6 IPS |
