Notebook V3xxSNR
Geekbench AI Score
21144
Single Precision Score
34979
Half Precision Score
16575
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 08:57 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% |
8396
1.56 KIPS |
|
|
Image Classification (HP)
|
100% |
13384
2.49 KIPS |
|
|
Image Classification (Q)
|
100% |
7776
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14616
236.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20212
327.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13778
224.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
122443
142.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
401000
467.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
114918
134.6 IPS |
|
|
Object Detection (SP)
|
100% |
11165
885.6 IPS |
|
|
Object Detection (HP)
|
100% |
16112
1.28 KIPS |
|
|
Object Detection (Q)
|
83% |
8637
697.8 IPS |
|
|
Face Detection (SP)
|
100% |
27691
329.0 IPS |
|
|
Face Detection (HP)
|
100% |
36326
431.6 IPS |
|
|
Face Detection (Q)
|
97% |
23528
280.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
58707
452.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
103942
800.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
45160
360.5 IPS |
|
|
Style Transfer (SP)
|
100% |
202480
260.3 IPS |
|
|
Style Transfer (HP)
|
100% |
589402
757.7 IPS |
|
|
Style Transfer (Q)
|
98% |
173521
223.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31353
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53569
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24878
921.2 IPS |
|
|
Text Classification (SP)
|
100% |
2651
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
3021
4.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1821
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3892
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4357
75.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1763
33.1 IPS |
