ASUS System Product Name
Geekbench AI Score
28069
Single Precision Score
30716
Half Precision Score
21508
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dimgod728 |
| Upload Date | December 12 2024 05:49 AM |
| Views | 2 |
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% |
12273
2.28 KIPS |
|
|
Image Classification (HP)
|
100% |
12106
2.25 KIPS |
|
|
Image Classification (Q)
|
99% |
10047
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14336
232.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12425
201.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12683
206.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
197954
231.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
298403
348.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
163411
191.5 IPS |
|
|
Object Detection (SP)
|
100% |
12458
988.2 IPS |
|
|
Object Detection (HP)
|
100% |
12850
1.02 KIPS |
|
|
Object Detection (Q)
|
87% |
10423
837.1 IPS |
|
|
Face Detection (SP)
|
100% |
35651
423.6 IPS |
|
|
Face Detection (HP)
|
100% |
38201
453.9 IPS |
|
|
Face Detection (Q)
|
97% |
29098
346.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
71870
553.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
77770
599.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
53999
433.6 IPS |
|
|
Style Transfer (SP)
|
100% |
342863
440.8 IPS |
|
|
Style Transfer (HP)
|
100% |
452133
581.2 IPS |
|
|
Style Transfer (Q)
|
98% |
273015
352.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41563
1.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48238
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29831
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
4426
5.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4538
6.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2844
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4330
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4408
75.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2682
50.3 IPS |
