MONSTER TULPAR B760 GAMING WIFI
Geekbench AI Score
3982
Single Precision Score
4059
Half Precision Score
9269
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sahinkilinc |
| Upload Date | March 24 2025 02:20 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-14400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | MONSTER TULPAR B760 GAMING WIFI |
| Motherboard | Monster Computer Technology Inc. TULPAR B760 GAMING WIFI |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2330
433.3 IPS |
|
|
Image Classification (HP)
|
100% |
2558
475.8 IPS |
|
|
Image Classification (Q)
|
100% |
5701
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3099
50.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3162
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5708
92.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5148
6.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
5138
6.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
19049
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
2505
198.7 IPS |
|
|
Object Detection (HP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (Q)
|
88% |
4113
329.7 IPS |
|
|
Face Detection (SP)
|
100% |
4102
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
4270
50.7 IPS |
|
|
Face Detection (Q)
|
100% |
14722
174.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6555
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6671
51.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
16670
129.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14730
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15272
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
52771
68.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3164
116.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3171
117.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10338
382.9 IPS |
|
|
Text Classification (SP)
|
100% |
2425
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2465
3.29 KIPS |
|
|
Text Classification (Q)
|
92% |
3914
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3485
60.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3506
60.4 IPS |
