System manufacturer System Product Name
Geekbench AI Score
6210
Single Precision Score
6220
Half Precision Score
8416
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ARMADA264 |
| Upload Date | March 15 2026 02:54 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING WIFI II |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3735
694.6 IPS |
|
|
Image Classification (HP)
|
100% |
3754
698.1 IPS |
|
|
Image Classification (Q)
|
100% |
5456
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4604
74.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4587
74.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6653
108.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6974
8.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
7018
8.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
14656
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
3781
299.9 IPS |
|
|
Object Detection (HP)
|
100% |
3741
296.8 IPS |
|
|
Object Detection (Q)
|
87% |
5612
450.1 IPS |
|
|
Face Detection (SP)
|
100% |
11553
137.3 IPS |
|
|
Face Detection (HP)
|
100% |
11576
137.5 IPS |
|
|
Face Detection (Q)
|
97% |
16044
191.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9430
72.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9473
73.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
16029
126.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21526
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21456
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
41690
53.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4520
166.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4521
166.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8323
308.3 IPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3270
4.36 KIPS |
|
|
Text Classification (Q)
|
91% |
1223
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5454
94.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5512
94.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5472
94.3 IPS |
