ASUS System Product Name
Geekbench AI Score
4012
Single Precision Score
885
Half Precision Score
3889
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | falken1 |
| Upload Date | August 26 2024 02:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS XII HERO (WI-FI) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2331
433.4 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.5 IPS |
|
|
Image Classification (Q)
|
97% |
3372
629.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
241
3.91 IPS |
|
|
Image Segmentation (Q)
|
97% |
2352
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9766
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
6773
7.90 IPS |
|
|
Pose Estimation (Q)
|
87% |
16382
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2517
199.6 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
86% |
2093
168.3 IPS |
|
|
Face Detection (SP)
|
100% |
3279
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
300
3.56 IPS |
|
|
Face Detection (Q)
|
96% |
4609
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8975
69.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1000
7.71 IPS |
|
|
Depth Estimation (Q)
|
76% |
7331
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21416
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17448
22.4 IPS |
|
|
Style Transfer (Q)
|
87% |
20245
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3410
125.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2378
87.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3717
137.7 IPS |
|
|
Text Classification (SP)
|
100% |
1709
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
714
953.1 IPS |
|
|
Text Classification (Q)
|
97% |
501
670.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2447
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2287
51.0 IPS |
