ASUS System Product Name
Geekbench AI Score
1397
Single Precision Score
1386
Half Precision Score
1632
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | June 27 2025 09:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 7960X 24-Cores |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS TRX50-SAGE WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 7960X 24-Cores |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 5.36 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
911
169.4 IPS |
|
|
Image Classification (HP)
|
100% |
919
170.9 IPS |
|
|
Image Classification (Q)
|
99% |
1487
277.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1424
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2317
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2377
2.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
3656
4.28 IPS |
|
|
Object Detection (SP)
|
100% |
1111
88.1 IPS |
|
|
Object Detection (HP)
|
100% |
1055
83.7 IPS |
|
|
Object Detection (Q)
|
85% |
1694
136.4 IPS |
|
|
Face Detection (SP)
|
100% |
1246
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1287
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
2280
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1269
9.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
1271
9.80 IPS |
|
|
Depth Estimation (Q)
|
63% |
1705
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2603
3.35 IPS |
|
|
Style Transfer (HP)
|
100% |
2546
3.27 IPS |
|
|
Style Transfer (Q)
|
98% |
4850
6.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
586
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
587
21.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1261
46.7 IPS |
|
|
Text Classification (SP)
|
100% |
993
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
974
1.30 KIPS |
|
|
Text Classification (Q)
|
92% |
647
868.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2505
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2498
43.0 IPS |
|
|
Machine Translation (Q)
|
58% |
668
15.7 IPS |
