MONSTER TULPAR B850 GAMING WIFI
Geekbench AI Score
5958
Single Precision Score
5525
Half Precision Score
14862
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | sahinkilinc |
| Upload Date | December 04 2025 01:35 PM |
| Views | 10 |
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 | MONSTER TULPAR B850 GAMING WIFI |
| Motherboard | Monster Computer Technology Inc. TULPAR B850 GAMING WIFI |
| Power Plan | Yksek performans |
| 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% |
3923
729.5 IPS |
|
|
Image Classification (HP)
|
100% |
3556
661.3 IPS |
|
|
Image Classification (Q)
|
100% |
9714
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4220
68.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3916
63.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9627
156.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6934
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
6773
7.90 IPS |
|
|
Pose Estimation (Q)
|
98% |
27379
32.1 IPS |
|
|
Object Detection (SP)
|
100% |
3814
302.5 IPS |
|
|
Object Detection (HP)
|
100% |
3559
282.3 IPS |
|
|
Object Detection (Q)
|
88% |
11506
922.3 IPS |
|
|
Face Detection (SP)
|
100% |
12258
145.7 IPS |
|
|
Face Detection (HP)
|
100% |
12691
150.8 IPS |
|
|
Face Detection (Q)
|
100% |
29492
350.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9174
70.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5677
43.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
18196
141.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13722
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13660
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
62124
80.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4252
157.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4280
158.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13222
489.7 IPS |
|
|
Text Classification (SP)
|
100% |
3346
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
3400
4.54 KIPS |
|
|
Text Classification (Q)
|
92% |
5270
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5867
101.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5520
95.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7686
132.4 IPS |
