Micro-Star International Co., Ltd. Raider GE68 HX 14VGG
Geekbench AI Score
2788
Single Precision Score
4042
Half Precision Score
6386
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | June 02 2025 09:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Raider GE68 HX 14VGG |
| Motherboard | Micro-Star International Co., Ltd. MS-15M2 |
| Power Plan | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1671
310.8 IPS |
|
|
Image Classification (HP)
|
100% |
2721
506.1 IPS |
|
|
Image Classification (Q)
|
99% |
4312
804.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4095
66.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4979
80.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4484
5.23 IPS |
|
|
Pose Estimation (HP)
|
99% |
3266
3.81 IPS |
|
|
Pose Estimation (Q)
|
97% |
13458
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
98% |
2470
196.5 IPS |
|
|
Object Detection (Q)
|
90% |
4606
368.3 IPS |
|
|
Face Detection (SP)
|
100% |
5263
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
8077
96.0 IPS |
|
|
Face Detection (Q)
|
100% |
10939
130.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5284
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8789
67.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
12032
93.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11673
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18308
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30583
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2097
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3417
126.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7044
260.9 IPS |
|
|
Text Classification (SP)
|
71% |
1232
1.78 KIPS |
|
|
Text Classification (HP)
|
71% |
1526
2.21 KIPS |
|
|
Text Classification (Q)
|
92% |
1546
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1912
33.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1934
33.3 IPS |
