ASUS System Product Name
Geekbench AI Score
5297
Single Precision Score
5257
Half Precision Score
5522
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | LoL_KeK_Cheburek |
| Upload Date | January 16 2026 03:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. CROSSHAIR VI HERO |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3286
611.0 IPS |
|
|
Image Classification (HP)
|
100% |
3263
606.8 IPS |
|
|
Image Classification (Q)
|
100% |
3758
698.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1983
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2011
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5496
89.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10013
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9978
11.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
10643
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
3347
265.5 IPS |
|
|
Object Detection (HP)
|
100% |
3447
273.4 IPS |
|
|
Object Detection (Q)
|
87% |
4238
339.9 IPS |
|
|
Face Detection (SP)
|
100% |
8212
97.6 IPS |
|
|
Face Detection (HP)
|
100% |
8058
95.7 IPS |
|
|
Face Detection (Q)
|
97% |
13635
162.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9272
71.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9151
70.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
11264
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27575
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27468
35.3 IPS |
|
|
Style Transfer (Q)
|
98% |
30302
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5512
203.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5482
202.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5945
220.2 IPS |
|
|
Text Classification (SP)
|
100% |
2271
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2379
3.18 KIPS |
|
|
Text Classification (Q)
|
91% |
360
483.4 IPS |
|
|
Machine Translation (SP)
|
100% |
3033
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2708
46.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2842
49.0 IPS |
