Gigabyte Technology Co., Ltd. B850 AI TOP
Geekbench AI Score
12334
Single Precision Score
12480
Half Precision Score
29743
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | NiFa18 |
| Upload Date | April 06 2026 06:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850 AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. B850 AI TOP |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7511
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7527
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
17899
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8485
137.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8535
138.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
22113
358.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15814
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16179
18.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
62591
73.3 IPS |
|
|
Object Detection (SP)
|
100% |
7754
615.0 IPS |
|
|
Object Detection (HP)
|
100% |
7848
622.5 IPS |
|
|
Object Detection (Q)
|
88% |
19460
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
21667
257.5 IPS |
|
|
Face Detection (HP)
|
100% |
21930
260.6 IPS |
|
|
Face Detection (Q)
|
100% |
48255
573.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20009
154.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20183
155.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
54002
420.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44847
57.7 IPS |
|
|
Style Transfer (HP)
|
100% |
44796
57.6 IPS |
|
|
Style Transfer (Q)
|
98% |
155725
200.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9606
354.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9780
361.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27525
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
5528
7.38 KIPS |
|
|
Text Classification (HP)
|
100% |
5629
7.51 KIPS |
|
|
Text Classification (Q)
|
92% |
8253
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
10099
174.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10301
177.4 IPS |
|
|
Machine Translation (Q)
|
100% |
12193
210.0 IPS |
