Notebook V3xxSNR
Geekbench AI Score
23031
Single Precision Score
42443
Half Precision Score
17984
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 08:22 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% |
8972
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
17018
3.16 KIPS |
|
|
Image Classification (Q)
|
100% |
6526
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17095
277.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23196
376.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15544
252.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
114110
133.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
388284
453.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
116490
136.5 IPS |
|
|
Object Detection (SP)
|
100% |
10061
798.0 IPS |
|
|
Object Detection (HP)
|
100% |
20414
1.62 KIPS |
|
|
Object Detection (Q)
|
83% |
10240
827.4 IPS |
|
|
Face Detection (SP)
|
100% |
30342
360.5 IPS |
|
|
Face Detection (HP)
|
100% |
49369
586.6 IPS |
|
|
Face Detection (Q)
|
97% |
28713
342.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
60601
466.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
113118
871.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
48330
385.8 IPS |
|
|
Style Transfer (SP)
|
100% |
202184
259.9 IPS |
|
|
Style Transfer (HP)
|
100% |
646595
831.2 IPS |
|
|
Style Transfer (Q)
|
98% |
161588
208.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32697
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65204
2.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25979
962.0 IPS |
|
|
Text Classification (SP)
|
100% |
3831
5.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4597
6.14 KIPS |
|
|
Text Classification (Q)
|
97% |
2353
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5121
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5602
96.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2134
40.0 IPS |
