Notebook V3xxSNR
Geekbench AI Score
23639
Single Precision Score
43272
Half Precision Score
17842
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 08:05 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% |
9268
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
17146
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
7245
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17401
282.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
25748
417.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16316
265.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
118981
138.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
411068
479.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
113462
132.9 IPS |
|
|
Object Detection (SP)
|
100% |
12145
963.3 IPS |
|
|
Object Detection (HP)
|
100% |
20843
1.65 KIPS |
|
|
Object Detection (Q)
|
83% |
10385
839.0 IPS |
|
|
Face Detection (SP)
|
100% |
31526
374.6 IPS |
|
|
Face Detection (HP)
|
100% |
50183
596.3 IPS |
|
|
Face Detection (Q)
|
97% |
24183
288.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
51372
395.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
110982
855.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
45432
362.6 IPS |
|
|
Style Transfer (SP)
|
100% |
197608
254.0 IPS |
|
|
Style Transfer (HP)
|
100% |
661181
850.0 IPS |
|
|
Style Transfer (Q)
|
98% |
167485
216.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34204
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64490
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27124
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3887
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4624
6.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2352
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5495
94.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5543
95.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2000
37.5 IPS |
