PC ASUS System Product Name
Geekbench AI Score
28319
Single Precision Score
41930
Half Precision Score
21033
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Wolfgang1756 |
| Upload Date | December 20 2024 10:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P D4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12212
2.27 KIPS |
|
|
Image Classification (HP)
|
99% |
17614
3.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9829
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16193
262.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19250
312.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14745
239.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
176989
206.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
430214
502.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
161348
188.9 IPS |
|
|
Object Detection (SP)
|
100% |
14136
1.12 KIPS |
|
|
Object Detection (HP)
|
100% |
20993
1.67 KIPS |
|
|
Object Detection (Q)
|
89% |
11083
887.3 IPS |
|
|
Face Detection (SP)
|
100% |
34349
408.1 IPS |
|
|
Face Detection (HP)
|
100% |
43982
522.6 IPS |
|
|
Face Detection (Q)
|
97% |
28453
339.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
69229
533.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
118905
918.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
52475
422.8 IPS |
|
|
Style Transfer (SP)
|
100% |
332285
427.2 IPS |
|
|
Style Transfer (HP)
|
100% |
786599
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
285647
368.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50139
1.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62766
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35437
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3955
5.28 KIPS |
|
|
Text Classification (HP)
|
99% |
4993
6.66 KIPS |
|
|
Text Classification (Q)
|
97% |
2192
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4280
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4255
73.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1974
44.0 IPS |
