ASUS System Product Name
Geekbench AI Score
2064
Single Precision Score
2047
Half Precision Score
1548
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | atomsymbol |
| Upload Date | August 16 2024 09:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550-PLUS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.95 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (Q)
|
99% |
1065
198.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2233
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2231
36.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1077
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2645
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2615
3.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
3346
3.92 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.3 IPS |
|
|
Object Detection (HP)
|
100% |
1546
122.7 IPS |
|
|
Object Detection (Q)
|
86% |
1159
93.2 IPS |
|
|
Face Detection (SP)
|
100% |
2570
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
2575
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
2330
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2405
18.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
2385
18.4 IPS |
|
|
Depth Estimation (Q)
|
74% |
2178
17.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3115
4.00 IPS |
|
|
Style Transfer (HP)
|
100% |
3132
4.03 IPS |
|
|
Style Transfer (Q)
|
98% |
5561
7.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1526
56.5 IPS |
|
|
Text Classification (SP)
|
100% |
1250
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1254
1.67 KIPS |
|
|
Text Classification (Q)
|
92% |
660
886.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2946
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2750
47.4 IPS |
|
|
Machine Translation (Q)
|
58% |
625
14.7 IPS |
