ASUS System Product Name
Geekbench AI Score
8094
Single Precision Score
8064
Half Precision Score
19717
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | September 18 2024 08:34 PM |
| Views | 2 |
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 GENE |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5223
971.3 IPS |
|
|
Image Classification (HP)
|
100% |
5163
960.1 IPS |
|
|
Image Classification (Q)
|
100% |
11764
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4532
73.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4477
72.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
12230
198.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9436
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9399
11.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
36898
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
5158
409.2 IPS |
|
|
Object Detection (HP)
|
100% |
5066
401.8 IPS |
|
|
Object Detection (Q)
|
88% |
12887
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
16703
198.5 IPS |
|
|
Face Detection (HP)
|
100% |
16702
198.5 IPS |
|
|
Face Detection (Q)
|
100% |
34059
404.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13309
102.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13245
102.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
36313
282.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26393
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25658
33.0 IPS |
|
|
Style Transfer (Q)
|
98% |
93336
120.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5956
219.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5911
218.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18206
674.3 IPS |
|
|
Text Classification (SP)
|
100% |
4441
5.93 KIPS |
|
|
Text Classification (HP)
|
100% |
4645
6.20 KIPS |
|
|
Text Classification (Q)
|
92% |
6708
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
6752
116.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6782
116.8 IPS |
|
|
Machine Translation (Q)
|
100% |
9209
158.6 IPS |
