ASUSTeK COMPUTER INC. System Product Name
Geekbench AI Score
35815
Single Precision Score
48104
Half Precision Score
26964
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | dank1 |
| Upload Date | August 16 2024 12:45 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% |
13290
2.47 KIPS |
|
|
Image Classification (HP)
|
99% |
17338
3.23 KIPS |
|
|
Image Classification (Q)
|
100% |
11122
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19538
316.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23138
375.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17920
291.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
319204
372.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
528346
616.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
279148
326.9 IPS |
|
|
Object Detection (SP)
|
100% |
17381
1.38 KIPS |
|
|
Object Detection (HP)
|
100% |
21998
1.74 KIPS |
|
|
Object Detection (Q)
|
89% |
14816
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
44498
528.7 IPS |
|
|
Face Detection (HP)
|
100% |
53313
633.5 IPS |
|
|
Face Detection (Q)
|
97% |
37921
452.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
94226
726.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
158482
1.22 KIPS |
|
|
Depth Estimation (Q)
|
75% |
68123
549.9 IPS |
|
|
Style Transfer (SP)
|
100% |
572662
736.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1058567
1.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
484167
624.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60464
2.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79220
2.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44353
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
3713
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
4582
6.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2223
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4472
77.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4383
75.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1999
44.6 IPS |
