ASUS System Product Name
Geekbench AI Score
32140
Single Precision Score
46743
Half Precision Score
24688
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | josueucla |
| Upload Date | August 20 2024 07:14 AM |
| Views | 15 |
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. ProArt Z790-CREATOR WIFI |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12620
2.35 KIPS |
|
|
Image Classification (HP)
|
99% |
17606
3.28 KIPS |
|
|
Image Classification (Q)
|
100% |
10702
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19381
314.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23776
385.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
17795
289.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
235419
274.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
494364
576.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
215423
252.3 IPS |
|
|
Object Detection (SP)
|
100% |
15738
1.25 KIPS |
|
|
Object Detection (HP)
|
100% |
21930
1.74 KIPS |
|
|
Object Detection (Q)
|
89% |
13753
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
40747
484.2 IPS |
|
|
Face Detection (HP)
|
100% |
50400
598.9 IPS |
|
|
Face Detection (Q)
|
97% |
34814
415.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
77694
598.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
147624
1.14 KIPS |
|
|
Depth Estimation (Q)
|
70% |
57659
483.0 IPS |
|
|
Style Transfer (SP)
|
100% |
397414
510.9 IPS |
|
|
Style Transfer (HP)
|
100% |
878624
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
343550
443.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55123
2.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73670
2.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41879
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3874
5.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4793
6.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2382
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4831
83.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4754
81.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2167
48.3 IPS |
