ASUS System Product Name
Geekbench AI Score
14754
Single Precision Score
14716
Half Precision Score
35080
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | 11eaven |
| Upload Date | November 22 2025 01:50 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7175
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7896
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
17888
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10506
170.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9952
161.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
29265
474.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29761
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30097
35.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
121501
142.2 IPS |
|
|
Object Detection (SP)
|
100% |
8766
695.3 IPS |
|
|
Object Detection (HP)
|
100% |
8595
681.8 IPS |
|
|
Object Detection (Q)
|
88% |
20460
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
20320
241.4 IPS |
|
|
Face Detection (HP)
|
100% |
18575
220.7 IPS |
|
|
Face Detection (Q)
|
100% |
54378
646.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26190
201.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
26693
205.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
66101
514.4 IPS |
|
|
Style Transfer (SP)
|
100% |
77974
100.2 IPS |
|
|
Style Transfer (HP)
|
100% |
79294
101.9 IPS |
|
|
Style Transfer (Q)
|
98% |
278583
359.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14644
540.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14661
541.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38970
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
4859
6.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4849
6.47 KIPS |
|
|
Text Classification (Q)
|
92% |
5864
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
8419
145.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8385
144.4 IPS |
|
|
Machine Translation (Q)
|
100% |
9480
163.3 IPS |
