ASUS System Product Name
Geekbench AI Score
28697
Single Precision Score
31018
Half Precision Score
22166
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dimgod728 |
| Upload Date | December 12 2024 06:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6950 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13069
2.43 KIPS |
|
|
Image Classification (HP)
|
100% |
12807
2.38 KIPS |
|
|
Image Classification (Q)
|
99% |
10496
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16954
274.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14455
234.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14550
236.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
198763
231.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
287677
335.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
161192
188.9 IPS |
|
|
Object Detection (SP)
|
100% |
12760
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
13481
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
10463
840.4 IPS |
|
|
Face Detection (SP)
|
100% |
36332
431.7 IPS |
|
|
Face Detection (HP)
|
100% |
38497
457.4 IPS |
|
|
Face Detection (Q)
|
97% |
29741
354.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
72204
556.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
77683
598.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
54210
435.3 IPS |
|
|
Style Transfer (SP)
|
100% |
348415
447.9 IPS |
|
|
Style Transfer (HP)
|
100% |
466607
599.8 IPS |
|
|
Style Transfer (Q)
|
98% |
281498
363.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42518
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49034
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30769
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
4380
5.85 KIPS |
|
|
Text Classification (HP)
|
100% |
4558
6.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2868
3.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3960
68.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3682
63.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2777
52.1 IPS |
