Notebook V3xxSNR
Geekbench AI Score
24080
Single Precision Score
44079
Half Precision Score
18415
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 08:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Notebook V3xxSNR |
| Motherboard | Notebook V3xxSNR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700HX |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9601
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
18185
3.38 KIPS |
|
|
Image Classification (Q)
|
100% |
8768
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18583
301.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
26577
430.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16857
274.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
117701
137.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
416670
486.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
117597
137.7 IPS |
|
|
Object Detection (SP)
|
100% |
12817
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
21185
1.68 KIPS |
|
|
Object Detection (Q)
|
83% |
10989
887.9 IPS |
|
|
Face Detection (SP)
|
100% |
32757
389.2 IPS |
|
|
Face Detection (HP)
|
100% |
49376
586.7 IPS |
|
|
Face Detection (Q)
|
97% |
27451
327.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
57023
439.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
120769
930.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
45208
360.8 IPS |
|
|
Style Transfer (SP)
|
100% |
199892
257.0 IPS |
|
|
Style Transfer (HP)
|
100% |
654081
840.8 IPS |
|
|
Style Transfer (Q)
|
98% |
167878
216.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34572
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68142
2.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26026
963.7 IPS |
|
|
Text Classification (SP)
|
100% |
3720
4.97 KIPS |
|
|
Text Classification (HP)
|
100% |
4648
6.20 KIPS |
|
|
Text Classification (Q)
|
97% |
2420
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5073
87.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5255
90.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1790
33.6 IPS |
