ASUS System Product Name
Geekbench AI Score
31612
Single Precision Score
46001
Half Precision Score
24195
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | September 04 2024 11:47 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO EVA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12652
2.35 KIPS |
|
|
Image Classification (HP)
|
99% |
17809
3.32 KIPS |
|
|
Image Classification (Q)
|
100% |
10701
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18757
304.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23009
373.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17091
277.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
251675
293.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
496038
578.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
218363
255.7 IPS |
|
|
Object Detection (SP)
|
100% |
15563
1.23 KIPS |
|
|
Object Detection (HP)
|
100% |
21756
1.73 KIPS |
|
|
Object Detection (Q)
|
89% |
13610
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
39783
472.7 IPS |
|
|
Face Detection (HP)
|
100% |
49272
585.5 IPS |
|
|
Face Detection (Q)
|
97% |
34030
405.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
74280
572.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
143337
1.10 KIPS |
|
|
Depth Estimation (Q)
|
70% |
55817
467.5 IPS |
|
|
Style Transfer (SP)
|
100% |
372081
478.3 IPS |
|
|
Style Transfer (HP)
|
100% |
852800
1.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
332216
428.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54229
2.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72366
2.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41054
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
3863
5.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4771
6.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2340
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4655
80.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4615
79.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2087
46.6 IPS |
