seewo D90te G1g
Geekbench AI Score
2626
Single Precision Score
1273
Half Precision Score
6228
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 07:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | seewo D90te G1g |
| Motherboard | seewo MB.I880.DC01 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3890
723.3 IPS |
|
|
Image Classification (HP)
|
100% |
1019
189.5 IPS |
|
|
Image Classification (Q)
|
100% |
4611
857.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8696
141.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4237
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2814
3.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
10303
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
618
49.0 IPS |
|
|
Object Detection (HP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (Q)
|
88% |
3432
275.1 IPS |
|
|
Face Detection (SP)
|
100% |
1935
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
830
9.86 IPS |
|
|
Face Detection (Q)
|
100% |
4888
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2204
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1021
7.86 IPS |
|
|
Depth Estimation (Q)
|
89% |
12539
97.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12868
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7799
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30086
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1998
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1067
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2424
89.8 IPS |
|
|
Text Classification (SP)
|
100% |
4099
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
577
770.3 IPS |
|
|
Text Classification (Q)
|
92% |
6031
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1431
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1794
30.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2300
39.6 IPS |
