FormD T1 (2025) ASUS System Product Name
Geekbench AI Score
13005
Single Precision Score
13102
Half Precision Score
30291
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | WilliamTM |
| Upload Date | February 20 2025 05:12 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B850-I GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8330
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
8285
1.54 KIPS |
|
|
Image Classification (Q)
|
100% |
17938
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8672
140.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8527
138.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20636
334.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16509
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16580
19.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
65322
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
8480
672.7 IPS |
|
|
Object Detection (HP)
|
100% |
8501
674.3 IPS |
|
|
Object Detection (Q)
|
88% |
19937
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
25853
307.2 IPS |
|
|
Face Detection (HP)
|
100% |
25583
304.0 IPS |
|
|
Face Detection (Q)
|
100% |
49003
582.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22224
171.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22375
172.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
58072
451.9 IPS |
|
|
Style Transfer (SP)
|
100% |
45920
59.0 IPS |
|
|
Style Transfer (HP)
|
100% |
44662
57.4 IPS |
|
|
Style Transfer (Q)
|
98% |
164599
212.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10326
381.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10350
382.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30919
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
6364
8.49 KIPS |
|
|
Text Classification (HP)
|
100% |
6335
8.46 KIPS |
|
|
Text Classification (Q)
|
92% |
9050
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
7897
136.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8936
153.9 IPS |
|
|
Machine Translation (Q)
|
100% |
10295
177.3 IPS |
