ASUS System Product Name
Geekbench AI Score
2657
Single Precision Score
2668
Half Precision Score
2374
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | oscarbg81 |
| Upload Date | August 17 2024 07:51 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04 LTS |
| 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% |
1760
327.2 IPS |
|
|
Image Classification (HP)
|
100% |
1758
326.8 IPS |
|
|
Image Classification (Q)
|
99% |
1609
300.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3272
53.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3274
53.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1400
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4024
4.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4009
4.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
6212
7.28 IPS |
|
|
Object Detection (SP)
|
100% |
1944
154.2 IPS |
|
|
Object Detection (HP)
|
100% |
1996
158.3 IPS |
|
|
Object Detection (Q)
|
86% |
2078
167.1 IPS |
|
|
Face Detection (SP)
|
100% |
3002
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
3032
36.0 IPS |
|
|
Face Detection (Q)
|
97% |
3354
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3049
23.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
3043
23.4 IPS |
|
|
Depth Estimation (Q)
|
74% |
3280
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3900
5.01 IPS |
|
|
Style Transfer (HP)
|
100% |
3867
4.97 IPS |
|
|
Style Transfer (Q)
|
98% |
8902
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1770
65.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1783
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2551
94.5 IPS |
|
|
Text Classification (SP)
|
100% |
1777
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1819
2.43 KIPS |
|
|
Text Classification (Q)
|
92% |
937
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3478
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (Q)
|
58% |
838
19.7 IPS |
