Notebook V3xxSNR
Geekbench AI Score
22607
Single Precision Score
42412
Half Precision Score
17720
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 08:14 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% |
9228
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
17689
3.29 KIPS |
|
|
Image Classification (Q)
|
100% |
8229
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18179
294.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
26641
431.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16254
264.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
115493
134.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
407122
475.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
119998
140.6 IPS |
|
|
Object Detection (SP)
|
100% |
12118
961.2 IPS |
|
|
Object Detection (HP)
|
100% |
20867
1.66 KIPS |
|
|
Object Detection (Q)
|
83% |
10463
845.3 IPS |
|
|
Face Detection (SP)
|
100% |
29513
350.7 IPS |
|
|
Face Detection (HP)
|
100% |
46518
552.7 IPS |
|
|
Face Detection (Q)
|
97% |
24251
289.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
51211
394.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
107884
831.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
43184
344.7 IPS |
|
|
Style Transfer (SP)
|
100% |
186855
240.2 IPS |
|
|
Style Transfer (HP)
|
100% |
646606
831.2 IPS |
|
|
Style Transfer (Q)
|
98% |
160239
206.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29364
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59531
2.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25466
943.0 IPS |
|
|
Text Classification (SP)
|
100% |
3775
5.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4610
6.15 KIPS |
|
|
Text Classification (Q)
|
97% |
2309
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4746
81.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5282
91.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1843
34.6 IPS |
