ASUS System Product Name
Geekbench AI Score
5351
Single Precision Score
5391
Half Precision Score
13162
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | helskor |
| Upload Date | August 16 2024 10:59 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3557
661.4 IPS |
|
|
Image Classification (HP)
|
100% |
3555
661.2 IPS |
|
|
Image Classification (Q)
|
100% |
8027
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3288
53.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3148
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7060
114.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7120
8.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
6911
8.06 IPS |
|
|
Pose Estimation (Q)
|
98% |
25145
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
3077
244.1 IPS |
|
|
Object Detection (HP)
|
100% |
3154
250.2 IPS |
|
|
Object Detection (Q)
|
88% |
7818
626.7 IPS |
|
|
Face Detection (SP)
|
100% |
9604
114.1 IPS |
|
|
Face Detection (HP)
|
100% |
10535
125.2 IPS |
|
|
Face Detection (Q)
|
100% |
22053
262.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7448
57.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
8417
64.8 IPS |
|
|
Depth Estimation (Q)
|
80% |
24549
194.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18647
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18672
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
67961
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4078
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4061
149.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13174
487.9 IPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2618
3.49 KIPS |
|
|
Text Classification (Q)
|
92% |
4324
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4746
81.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4834
83.3 IPS |
|
|
Machine Translation (Q)
|
85% |
6685
116.9 IPS |
