ASUS System Product Name
Geekbench AI Score
12038
Single Precision Score
12111
Half Precision Score
29987
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Aaronage |
| Upload Date | October 04 2024 04:13 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-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 | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8199
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
8274
1.54 KIPS |
|
|
Image Classification (Q)
|
100% |
18646
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7781
126.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7878
127.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17207
278.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15947
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16175
18.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
64637
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
7531
597.3 IPS |
|
|
Object Detection (HP)
|
100% |
7569
600.4 IPS |
|
|
Object Detection (Q)
|
88% |
20512
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
15698
186.5 IPS |
|
|
Face Detection (HP)
|
100% |
16059
190.8 IPS |
|
|
Face Detection (Q)
|
100% |
49590
589.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18812
144.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18880
145.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
58020
451.4 IPS |
|
|
Style Transfer (SP)
|
100% |
44913
57.7 IPS |
|
|
Style Transfer (HP)
|
100% |
45279
58.2 IPS |
|
|
Style Transfer (Q)
|
98% |
164460
212.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10091
372.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10064
371.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29389
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
6829
9.12 KIPS |
|
|
Text Classification (HP)
|
100% |
6701
8.94 KIPS |
|
|
Text Classification (Q)
|
92% |
9105
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
9130
157.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9194
158.4 IPS |
|
|
Machine Translation (Q)
|
100% |
10917
188.1 IPS |
