Notebook X370SNx1
Geekbench AI Score
4810
Single Precision Score
1456
Half Precision Score
7978
Quantized Score
Geekbench AI 1.7.0 Pro for Windows AVX2
Result Information
| User | Sarg3v3 |
| Upload Date | April 12 2026 08:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Notebook X370SNx1 |
| Motherboard | Notebook X370SNx1 |
| Power Plan | Razer Cortex Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3836
713.3 IPS |
|
|
Image Classification (HP)
|
100% |
487
90.6 IPS |
|
|
Image Classification (Q)
|
99% |
6047
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
920
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10916
177.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9858
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4265
4.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
28108
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
3667
290.8 IPS |
|
|
Object Detection (HP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (Q)
|
86% |
6559
527.1 IPS |
|
|
Face Detection (SP)
|
100% |
11369
135.1 IPS |
|
|
Face Detection (HP)
|
100% |
1533
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
10152
121.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10688
82.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1891
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
15844
126.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21440
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10350
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25331
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3406
125.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1905
70.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5302
196.3 IPS |
|
|
Text Classification (SP)
|
100% |
1431
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
682
910.5 IPS |
|
|
Text Classification (Q)
|
97% |
1297
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1936
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3067
61.6 IPS |
