ASUS System Product Name
Geekbench AI Score
6855
Single Precision Score
7316
Half Precision Score
4778
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 03:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) RX 480 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII EXTREME |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2612
485.8 IPS |
|
|
Image Classification (HP)
|
100% |
3032
563.9 IPS |
|
|
Image Classification (Q)
|
99% |
2047
381.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3466
56.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3723
60.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2900
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
40063
46.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
43467
50.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
33422
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
2994
237.5 IPS |
|
|
Object Detection (HP)
|
100% |
3091
245.2 IPS |
|
|
Object Detection (Q)
|
89% |
2299
184.1 IPS |
|
|
Face Detection (SP)
|
100% |
7964
94.6 IPS |
|
|
Face Detection (HP)
|
100% |
9553
113.5 IPS |
|
|
Face Detection (Q)
|
97% |
5929
70.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17093
131.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18857
145.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
12215
98.0 IPS |
|
|
Style Transfer (SP)
|
100% |
71116
91.4 IPS |
|
|
Style Transfer (HP)
|
100% |
80566
103.6 IPS |
|
|
Style Transfer (Q)
|
98% |
55030
71.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11197
413.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12015
443.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7113
263.4 IPS |
|
|
Text Classification (SP)
|
100% |
1127
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
975
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
671
898.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1728
29.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1705
29.5 IPS |
|
|
Machine Translation (Q)
|
60% |
715
16.1 IPS |
