ASUS System Product Name
Geekbench AI Score
20253
Single Precision Score
28926
Half Precision Score
13250
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | CronXPX |
| Upload Date | December 29 2024 01:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS X APEX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8589
1.60 KIPS |
|
|
Image Classification (HP)
|
99% |
11471
2.14 KIPS |
|
|
Image Classification (Q)
|
100% |
6045
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9899
160.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12035
195.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8115
132.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
140983
164.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
346577
404.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
109309
128.1 IPS |
|
|
Object Detection (SP)
|
100% |
10117
802.5 IPS |
|
|
Object Detection (HP)
|
100% |
13518
1.07 KIPS |
|
|
Object Detection (Q)
|
85% |
7356
591.8 IPS |
|
|
Face Detection (SP)
|
100% |
23201
275.7 IPS |
|
|
Face Detection (HP)
|
100% |
29381
349.1 IPS |
|
|
Face Detection (Q)
|
97% |
17342
206.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
57220
440.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96266
741.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
35354
283.2 IPS |
|
|
Style Transfer (SP)
|
100% |
250808
322.4 IPS |
|
|
Style Transfer (HP)
|
100% |
521310
670.2 IPS |
|
|
Style Transfer (Q)
|
98% |
181722
234.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34639
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41704
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19803
733.3 IPS |
|
|
Text Classification (SP)
|
100% |
3022
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3776
5.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1482
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2748
47.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2731
47.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1294
24.3 IPS |
