ASUS System Product Name
Geekbench AI Score
16958
Single Precision Score
16741
Half Precision Score
39951
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | May 21 2025 07:12 PM |
| Views | 3 |
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 APEX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8512
1.58 KIPS |
|
|
Image Classification (HP)
|
100% |
7738
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
19633
3.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11248
182.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12302
199.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
35118
569.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
35859
41.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
35232
41.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
142662
167.0 IPS |
|
|
Object Detection (SP)
|
100% |
9731
771.9 IPS |
|
|
Object Detection (HP)
|
100% |
9641
764.8 IPS |
|
|
Object Detection (Q)
|
88% |
22884
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
26255
312.0 IPS |
|
|
Face Detection (HP)
|
100% |
24315
288.9 IPS |
|
|
Face Detection (Q)
|
100% |
63637
756.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
31347
241.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
29657
228.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
81668
635.6 IPS |
|
|
Style Transfer (SP)
|
100% |
90006
115.7 IPS |
|
|
Style Transfer (HP)
|
100% |
90083
115.8 IPS |
|
|
Style Transfer (Q)
|
98% |
323156
416.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16640
614.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17047
629.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
44936
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
5165
6.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5110
6.82 KIPS |
|
|
Text Classification (Q)
|
92% |
6027
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
9249
159.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9454
162.8 IPS |
|
|
Machine Translation (Q)
|
100% |
10119
174.3 IPS |
