ASUS System Product Name
Geekbench AI Score
16801
Single Precision Score
16724
Half Precision Score
40232
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | May 21 2025 06:56 PM |
| Views | 4 |
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% |
7776
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
8008
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
20646
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13160
213.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12703
205.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
38192
619.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
34634
40.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35209
41.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
138241
161.8 IPS |
|
|
Object Detection (SP)
|
100% |
9941
788.5 IPS |
|
|
Object Detection (HP)
|
100% |
9543
756.9 IPS |
|
|
Object Detection (Q)
|
88% |
22430
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
25358
301.3 IPS |
|
|
Face Detection (HP)
|
100% |
24536
291.5 IPS |
|
|
Face Detection (Q)
|
100% |
64578
767.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
29438
226.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
30752
236.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
78983
614.7 IPS |
|
|
Style Transfer (SP)
|
100% |
88566
113.9 IPS |
|
|
Style Transfer (HP)
|
100% |
87648
112.7 IPS |
|
|
Style Transfer (Q)
|
98% |
317900
409.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16311
602.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16653
614.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42472
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
5152
6.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5055
6.75 KIPS |
|
|
Text Classification (Q)
|
92% |
6547
8.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
9159
157.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8995
154.9 IPS |
|
|
Machine Translation (Q)
|
100% |
10079
173.6 IPS |
