Micro-Star International Co., Ltd. Raider GE68 HX 14VGG
Geekbench AI Score
5108
Single Precision Score
1461
Half Precision Score
7692
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | June 02 2025 09:22 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| 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% |
3910
727.1 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (Q)
|
99% |
6564
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
927
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3756
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10727
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4441
5.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
30883
36.2 IPS |
|
|
Object Detection (SP)
|
100% |
3911
310.2 IPS |
|
|
Object Detection (HP)
|
100% |
645
51.2 IPS |
|
|
Object Detection (Q)
|
86% |
6867
551.9 IPS |
|
|
Face Detection (SP)
|
100% |
10999
130.7 IPS |
|
|
Face Detection (HP)
|
100% |
1560
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
10794
128.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11767
90.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1915
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
17187
137.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22898
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11014
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
24968
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3793
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1991
73.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5104
189.0 IPS |
|
|
Text Classification (SP)
|
100% |
1524
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
649
866.6 IPS |
|
|
Text Classification (Q)
|
97% |
1565
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2075
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3752
75.4 IPS |
