ASUS System Product Name
Geekbench AI Score
15227
Single Precision Score
17875
Half Precision Score
12194
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Skvor |
| Upload Date | January 05 2025 02:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6650 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550-PLUS |
| Power Plan | Vysok vkon |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7135
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7535
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
6330
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8749
141.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7273
117.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7587
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
86333
100.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
142765
166.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
73239
85.8 IPS |
|
|
Object Detection (SP)
|
100% |
5601
444.3 IPS |
|
|
Object Detection (HP)
|
100% |
7044
558.7 IPS |
|
|
Object Detection (Q)
|
87% |
4942
396.9 IPS |
|
|
Face Detection (SP)
|
100% |
17737
210.8 IPS |
|
|
Face Detection (HP)
|
100% |
20991
249.4 IPS |
|
|
Face Detection (Q)
|
97% |
14877
177.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
40483
311.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
49521
381.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
31720
254.7 IPS |
|
|
Style Transfer (SP)
|
100% |
166205
213.7 IPS |
|
|
Style Transfer (HP)
|
100% |
211711
272.2 IPS |
|
|
Style Transfer (Q)
|
98% |
136563
176.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26407
975.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31580
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19091
706.9 IPS |
|
|
Text Classification (SP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2897
3.87 KIPS |
|
|
Text Classification (Q)
|
97% |
1819
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2875
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3002
51.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1869
35.1 IPS |
