Notebook V3xxSNR
Geekbench AI Score
17140
Single Precision Score
30873
Half Precision Score
13443
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 07:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
6855
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
11269
2.10 KIPS |
|
|
Image Classification (Q)
|
100% |
6292
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14357
232.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21484
348.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12755
207.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
83716
97.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
286022
333.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
75247
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
9332
740.2 IPS |
|
|
Object Detection (HP)
|
100% |
15416
1.22 KIPS |
|
|
Object Detection (Q)
|
83% |
8179
660.9 IPS |
|
|
Face Detection (SP)
|
100% |
24763
294.2 IPS |
|
|
Face Detection (HP)
|
100% |
38470
457.1 IPS |
|
|
Face Detection (Q)
|
97% |
21785
259.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
42371
326.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
85088
655.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
35191
280.9 IPS |
|
|
Style Transfer (SP)
|
100% |
138719
178.3 IPS |
|
|
Style Transfer (HP)
|
100% |
486311
625.2 IPS |
|
|
Style Transfer (Q)
|
98% |
121110
156.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24237
895.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47882
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18707
692.7 IPS |
|
|
Text Classification (SP)
|
100% |
2134
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2428
3.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1418
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3781
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3982
68.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1585
29.7 IPS |
