ASUS System Product Name
Geekbench AI Score
19725
Single Precision Score
21495
Half Precision Score
14627
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | November 27 2024 05:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8783
1.63 KIPS |
|
|
Image Classification (HP)
|
100% |
8429
1.57 KIPS |
|
|
Image Classification (Q)
|
100% |
7114
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13360
216.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10260
166.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10997
178.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
102522
119.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
176890
206.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
93302
109.3 IPS |
|
|
Object Detection (SP)
|
100% |
9032
716.4 IPS |
|
|
Object Detection (HP)
|
100% |
7668
608.2 IPS |
|
|
Object Detection (Q)
|
89% |
7424
594.2 IPS |
|
|
Face Detection (SP)
|
100% |
23124
274.8 IPS |
|
|
Face Detection (HP)
|
100% |
26030
309.3 IPS |
|
|
Face Detection (Q)
|
97% |
17297
206.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
43993
338.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
54893
422.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
32433
264.8 IPS |
|
|
Style Transfer (SP)
|
100% |
193769
249.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244719
314.6 IPS |
|
|
Style Transfer (Q)
|
98% |
157281
202.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36374
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41828
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24542
908.7 IPS |
|
|
Text Classification (SP)
|
100% |
2639
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2782
3.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1765
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4337
74.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4412
76.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2165
48.3 IPS |
