ASUS System Product Name
Geekbench AI Score
12140
Single Precision Score
20538
Half Precision Score
8291
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| User | laidbackdev |
| Upload Date | November 06 2024 05:45 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760M-K D4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5030
935.5 IPS |
|
|
Image Classification (HP)
|
100% |
8525
1.59 KIPS |
|
|
Image Classification (Q)
|
100% |
3686
685.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8087
131.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10888
176.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6702
109.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
57890
67.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
193436
225.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
49174
57.6 IPS |
|
|
Object Detection (SP)
|
100% |
6127
486.0 IPS |
|
|
Object Detection (HP)
|
100% |
10298
816.8 IPS |
|
|
Object Detection (Q)
|
89% |
4368
349.6 IPS |
|
|
Face Detection (SP)
|
100% |
13821
164.2 IPS |
|
|
Face Detection (HP)
|
100% |
20688
245.8 IPS |
|
|
Face Detection (Q)
|
97% |
10898
129.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
31170
240.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56908
438.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
21186
170.5 IPS |
|
|
Style Transfer (SP)
|
100% |
109342
140.6 IPS |
|
|
Style Transfer (HP)
|
100% |
249069
320.2 IPS |
|
|
Style Transfer (Q)
|
98% |
87994
113.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18635
688.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29956
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11579
428.8 IPS |
|
|
Text Classification (SP)
|
100% |
1914
2.55 KIPS |
|
|
Text Classification (HP)
|
99% |
2855
3.81 KIPS |
|
|
Text Classification (Q)
|
97% |
1133
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2869
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2881
49.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1086
24.2 IPS |
