Notebook V3xxSNR
Geekbench AI Score
22837
Single Precision Score
41751
Half Precision Score
17464
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 08:36 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% |
9201
1.71 KIPS |
|
|
Image Classification (HP)
|
100% |
17644
3.28 KIPS |
|
|
Image Classification (Q)
|
100% |
8234
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17595
285.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
26012
421.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15465
251.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
118665
138.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
372968
435.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
112437
131.7 IPS |
|
|
Object Detection (SP)
|
100% |
10334
819.7 IPS |
|
|
Object Detection (HP)
|
100% |
19757
1.57 KIPS |
|
|
Object Detection (Q)
|
83% |
8573
692.6 IPS |
|
|
Face Detection (SP)
|
100% |
29959
356.0 IPS |
|
|
Face Detection (HP)
|
100% |
43223
513.6 IPS |
|
|
Face Detection (Q)
|
97% |
27058
322.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
52597
405.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
113863
877.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
42423
338.6 IPS |
|
|
Style Transfer (SP)
|
100% |
190050
244.3 IPS |
|
|
Style Transfer (HP)
|
100% |
636933
818.8 IPS |
|
|
Style Transfer (Q)
|
98% |
162567
209.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32164
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62383
2.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25082
928.8 IPS |
|
|
Text Classification (SP)
|
100% |
3682
4.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4532
6.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2345
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5480
94.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5371
92.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1959
36.7 IPS |
