Notebook V3xxSNR
Geekbench AI Score
23073
Single Precision Score
42949
Half Precision Score
17389
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 08:25 AM |
| Views | 4 |
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% |
9224
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
17375
3.23 KIPS |
|
|
Image Classification (Q)
|
100% |
8289
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17910
290.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
26523
430.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15908
258.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
112224
130.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
403838
471.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
111584
130.7 IPS |
|
|
Object Detection (SP)
|
100% |
12382
982.1 IPS |
|
|
Object Detection (HP)
|
100% |
21018
1.67 KIPS |
|
|
Object Detection (Q)
|
83% |
10248
828.0 IPS |
|
|
Face Detection (SP)
|
100% |
30016
356.7 IPS |
|
|
Face Detection (HP)
|
100% |
50278
597.4 IPS |
|
|
Face Detection (Q)
|
97% |
26926
321.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
50660
390.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
112738
868.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
43354
346.0 IPS |
|
|
Style Transfer (SP)
|
100% |
203036
261.0 IPS |
|
|
Style Transfer (HP)
|
100% |
630956
811.1 IPS |
|
|
Style Transfer (Q)
|
98% |
157283
202.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31628
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64829
2.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21229
786.1 IPS |
|
|
Text Classification (SP)
|
100% |
3767
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4517
6.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2315
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5065
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5214
89.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1858
34.8 IPS |
