MONSTER TULPAR B850 GAMING WIFI
Geekbench AI Score
1965
Single Precision Score
2157
Half Precision Score
1618
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 16 2025 11:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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 9700X |
| 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% |
649
120.7 IPS |
|
|
Image Classification (HP)
|
100% |
663
123.3 IPS |
|
|
Image Classification (Q)
|
100% |
672
125.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1004
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6521
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
10839
12.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
5866
6.87 IPS |
|
|
Object Detection (SP)
|
100% |
719
57.1 IPS |
|
|
Object Detection (HP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (Q)
|
87% |
684
54.9 IPS |
|
|
Face Detection (SP)
|
100% |
2248
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
2235
26.6 IPS |
|
|
Face Detection (Q)
|
97% |
2081
24.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3812
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4522
34.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
3377
27.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11315
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16344
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
9956
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2796
103.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3704
136.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2089
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
938
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
521
698.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (Q)
|
70% |
597
11.2 IPS |
