Micro-Star International Co., Ltd. Raider GE68 HX 14VGG
Geekbench AI Score
4918
Single Precision Score
4902
Half Precision Score
13711
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | June 02 2025 09:26 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
2801
521.0 IPS |
|
|
Image Classification (HP)
|
100% |
3209
596.8 IPS |
|
|
Image Classification (Q)
|
100% |
9642
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3832
62.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3726
60.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10227
165.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7649
8.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
8055
9.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
30656
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
2609
207.0 IPS |
|
|
Object Detection (HP)
|
100% |
2600
206.2 IPS |
|
|
Object Detection (Q)
|
88% |
10123
811.5 IPS |
|
|
Face Detection (SP)
|
100% |
9301
110.5 IPS |
|
|
Face Detection (HP)
|
100% |
9248
109.9 IPS |
|
|
Face Detection (Q)
|
100% |
24003
285.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8261
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7927
61.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
27054
210.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21874
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21553
27.7 IPS |
|
|
Style Transfer (Q)
|
98% |
83220
107.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4116
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4347
160.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16172
598.9 IPS |
|
|
Text Classification (SP)
|
100% |
2607
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2568
3.43 KIPS |
|
|
Text Classification (Q)
|
92% |
5342
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2147
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1814
31.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1644
28.3 IPS |
