Micro-Star International Co., Ltd. Raider GE68 HX 14VGG
Geekbench AI Score
1798
Single Precision Score
1835
Half Precision Score
1192
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | June 02 2025 09:31 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
729
135.5 IPS |
|
|
Image Classification (HP)
|
100% |
748
139.1 IPS |
|
|
Image Classification (Q)
|
100% |
617
114.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1188
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
798
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5500
6.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
6090
7.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
3711
4.35 IPS |
|
|
Object Detection (SP)
|
100% |
838
66.5 IPS |
|
|
Object Detection (HP)
|
98% |
722
57.5 IPS |
|
|
Object Detection (Q)
|
86% |
707
56.9 IPS |
|
|
Face Detection (SP)
|
100% |
1710
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
1810
21.5 IPS |
|
|
Face Detection (Q)
|
97% |
1253
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3214
24.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3486
26.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2350
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11196
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15004
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8404
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1884
69.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2554
94.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
953
35.3 IPS |
|
|
Text Classification (SP)
|
100% |
886
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
471
628.8 IPS |
|
|
Text Classification (Q)
|
97% |
384
513.8 IPS |
|
|
Machine Translation (SP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
978
16.9 IPS |
|
|
Machine Translation (Q)
|
70% |
498
9.34 IPS |
