seewo D90te G1g
Geekbench AI Score
4910
Single Precision Score
2978
Half Precision Score
12154
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 07:05 AM |
| Views | 3 |
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% |
3261
606.4 IPS |
|
|
Image Classification (HP)
|
100% |
1458
271.2 IPS |
|
|
Image Classification (Q)
|
100% |
7710
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3954
64.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7873
127.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6017
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
4067
4.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
23359
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
3044
241.4 IPS |
|
|
Object Detection (HP)
|
100% |
1630
129.3 IPS |
|
|
Object Detection (Q)
|
88% |
8408
674.0 IPS |
|
|
Face Detection (SP)
|
100% |
7904
93.9 IPS |
|
|
Face Detection (HP)
|
100% |
4212
50.0 IPS |
|
|
Face Detection (Q)
|
100% |
21456
254.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8017
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4577
35.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
23813
185.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18062
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11845
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
67013
86.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3895
143.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2692
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13200
488.8 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2206
2.94 KIPS |
|
|
Text Classification (Q)
|
92% |
5384
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2417
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2347
40.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2426
41.8 IPS |
