ASUS System Product Name
Geekbench AI Score
15366
Single Precision Score
23078
Half Precision Score
10506
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 01:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| 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 | Ausbalanciert |
| 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% |
6335
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
8873
1.65 KIPS |
|
|
Image Classification (Q)
|
99% |
4702
877.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8164
132.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9746
158.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6743
109.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
96200
112.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
265927
310.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
79315
92.9 IPS |
|
|
Object Detection (SP)
|
100% |
8022
636.3 IPS |
|
|
Object Detection (HP)
|
100% |
10862
861.6 IPS |
|
|
Object Detection (Q)
|
85% |
6002
483.1 IPS |
|
|
Face Detection (SP)
|
100% |
17805
211.6 IPS |
|
|
Face Detection (HP)
|
100% |
23813
282.9 IPS |
|
|
Face Detection (Q)
|
97% |
13886
165.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
45801
352.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
70650
544.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
28900
231.5 IPS |
|
|
Style Transfer (SP)
|
100% |
183259
235.6 IPS |
|
|
Style Transfer (HP)
|
100% |
383468
493.0 IPS |
|
|
Style Transfer (Q)
|
98% |
141616
182.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27319
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35892
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16120
596.9 IPS |
|
|
Text Classification (SP)
|
100% |
1992
2.66 KIPS |
|
|
Text Classification (HP)
|
99% |
3284
4.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1067
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2262
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1111
20.8 IPS |
