ASUSTeK COMPUTER INC. System Product Name
Geekbench AI Score
35709
Single Precision Score
48142
Half Precision Score
26932
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | dank1 |
| Upload Date | August 16 2024 12:22 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUSTeK COMPUTER INC. System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS W680-ACE IPMI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| 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% |
13718
2.55 KIPS |
|
|
Image Classification (HP)
|
99% |
17803
3.32 KIPS |
|
|
Image Classification (Q)
|
100% |
11378
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19711
319.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23195
376.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17952
291.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
311618
363.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
519586
606.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
276040
323.2 IPS |
|
|
Object Detection (SP)
|
100% |
17168
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
22151
1.76 KIPS |
|
|
Object Detection (Q)
|
89% |
14852
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
44658
530.6 IPS |
|
|
Face Detection (HP)
|
100% |
53220
632.4 IPS |
|
|
Face Detection (Q)
|
97% |
37435
446.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
94170
725.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
157486
1.21 KIPS |
|
|
Depth Estimation (Q)
|
75% |
67883
548.0 IPS |
|
|
Style Transfer (SP)
|
100% |
567254
729.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1057359
1.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
486304
627.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59495
2.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78842
2.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44164
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
3704
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
4609
6.15 KIPS |
|
|
Text Classification (Q)
|
97% |
2213
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4433
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4370
75.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1985
44.3 IPS |
