ASUS System Product Name
Geekbench AI Score
8663
Single Precision Score
8692
Half Precision Score
19638
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 04:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-I GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4722
878.1 IPS |
|
|
Image Classification (HP)
|
100% |
4656
866.0 IPS |
|
|
Image Classification (Q)
|
100% |
9885
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6174
100.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6126
99.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15770
255.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14710
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15037
17.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
57616
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
5177
410.7 IPS |
|
|
Object Detection (HP)
|
100% |
5280
418.8 IPS |
|
|
Object Detection (Q)
|
88% |
11856
950.4 IPS |
|
|
Face Detection (SP)
|
100% |
13098
155.6 IPS |
|
|
Face Detection (HP)
|
100% |
12830
152.4 IPS |
|
|
Face Detection (Q)
|
100% |
31840
378.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15709
121.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15546
119.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
39790
309.6 IPS |
|
|
Style Transfer (SP)
|
100% |
37759
48.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38092
49.0 IPS |
|
|
Style Transfer (Q)
|
98% |
135947
175.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7763
286.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7807
288.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21741
805.1 IPS |
|
|
Text Classification (SP)
|
100% |
3644
4.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (Q)
|
92% |
4238
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4882
84.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4981
85.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5050
87.0 IPS |
