seewo D90te G1g
Geekbench AI Score
4784
Single Precision Score
2930
Half Precision Score
11893
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 07:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | seewo D90te G1g |
| Motherboard | seewo MB.I880.DC01 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.19 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3246
603.6 IPS |
|
|
Image Classification (HP)
|
100% |
1423
264.7 IPS |
|
|
Image Classification (Q)
|
100% |
7899
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3758
60.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7703
124.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5875
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3968
4.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
23065
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
2907
230.6 IPS |
|
|
Object Detection (HP)
|
100% |
1595
126.6 IPS |
|
|
Object Detection (Q)
|
88% |
8159
654.1 IPS |
|
|
Face Detection (SP)
|
100% |
7935
94.3 IPS |
|
|
Face Detection (HP)
|
100% |
4055
48.2 IPS |
|
|
Face Detection (Q)
|
100% |
20686
245.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7655
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4430
34.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
22402
174.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17611
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11524
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
63749
82.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3734
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2576
95.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12712
470.8 IPS |
|
|
Text Classification (SP)
|
100% |
3061
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2184
2.91 KIPS |
|
|
Text Classification (Q)
|
92% |
5356
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2467
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2509
43.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2459
42.4 IPS |
