ASUS System Product Name
Geekbench AI Score
7536
Single Precision Score
7413
Half Precision Score
17968
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 10:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X3D 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS WIFI |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X3D |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4287
797.2 IPS |
|
|
Image Classification (HP)
|
100% |
4253
790.9 IPS |
|
|
Image Classification (Q)
|
100% |
10204
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5580
90.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5549
90.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
14483
234.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11375
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10365
12.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
43893
51.4 IPS |
|
|
Object Detection (SP)
|
100% |
4572
362.6 IPS |
|
|
Object Detection (HP)
|
100% |
4462
353.9 IPS |
|
|
Object Detection (Q)
|
88% |
11283
904.4 IPS |
|
|
Face Detection (SP)
|
100% |
11862
140.9 IPS |
|
|
Face Detection (HP)
|
100% |
12351
146.8 IPS |
|
|
Face Detection (Q)
|
100% |
29770
353.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12447
95.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12555
96.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
34228
266.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29006
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31017
39.9 IPS |
|
|
Style Transfer (Q)
|
98% |
113419
146.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6797
251.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6108
225.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19451
720.3 IPS |
|
|
Text Classification (SP)
|
100% |
3399
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
3461
4.62 KIPS |
|
|
Text Classification (Q)
|
92% |
4134
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4803
82.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4521
77.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5157
88.8 IPS |
