Notebook V3xxSNR
Geekbench AI Score
23357
Single Precision Score
42583
Half Precision Score
18065
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 08:47 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% |
9405
1.75 KIPS |
|
|
Image Classification (HP)
|
100% |
18011
3.35 KIPS |
|
|
Image Classification (Q)
|
100% |
8678
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18092
293.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
26161
424.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16321
265.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
122835
143.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
382141
445.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
118036
138.3 IPS |
|
|
Object Detection (SP)
|
100% |
8927
708.1 IPS |
|
|
Object Detection (HP)
|
100% |
18012
1.43 KIPS |
|
|
Object Detection (Q)
|
83% |
8657
699.4 IPS |
|
|
Face Detection (SP)
|
100% |
30988
368.2 IPS |
|
|
Face Detection (HP)
|
100% |
42048
499.6 IPS |
|
|
Face Detection (Q)
|
97% |
25008
298.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
56082
432.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
119536
921.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
45459
362.8 IPS |
|
|
Style Transfer (SP)
|
100% |
206657
265.7 IPS |
|
|
Style Transfer (HP)
|
100% |
668373
859.2 IPS |
|
|
Style Transfer (Q)
|
98% |
174521
225.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33475
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67184
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25916
959.6 IPS |
|
|
Text Classification (SP)
|
100% |
3820
5.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4667
6.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2436
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5641
97.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5740
98.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2043
38.3 IPS |
