ASUS System Product Name
Geekbench AI Score
6553
Single Precision Score
1548
Half Precision Score
7980
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | NeilB |
| Upload Date | September 01 2024 03:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 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% |
2693
500.8 IPS |
|
|
Image Classification (HP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (Q)
|
99% |
6760
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2936
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
410
6.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
4141
67.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
31189
36.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19074
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
87895
103.0 IPS |
|
|
Object Detection (SP)
|
100% |
3515
278.8 IPS |
|
|
Object Detection (HP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (Q)
|
88% |
3398
272.4 IPS |
|
|
Face Detection (SP)
|
100% |
4968
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
490
5.82 IPS |
|
|
Face Detection (Q)
|
97% |
7458
88.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14042
108.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1654
12.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
18177
146.5 IPS |
|
|
Style Transfer (SP)
|
100% |
48973
63.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39862
51.2 IPS |
|
|
Style Transfer (Q)
|
98% |
58056
74.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4877
180.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4309
159.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6201
229.6 IPS |
|
|
Text Classification (SP)
|
100% |
2427
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1005
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
626
838.6 IPS |
|
|
Machine Translation (SP)
|
100% |
4167
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (Q)
|
60% |
4102
91.5 IPS |
