Micro-Star International Co., Ltd. Raider GE68 HX 14VGG
Geekbench AI Score
19710
Single Precision Score
32485
Half Precision Score
15035
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | June 02 2025 09:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| 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% |
7508
1.40 KIPS |
|
|
Image Classification (HP)
|
99% |
13303
2.48 KIPS |
|
|
Image Classification (Q)
|
100% |
6940
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13731
222.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18223
295.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12714
206.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
113687
132.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
294810
344.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
95774
112.2 IPS |
|
|
Object Detection (SP)
|
100% |
9496
753.2 IPS |
|
|
Object Detection (HP)
|
100% |
16401
1.30 KIPS |
|
|
Object Detection (Q)
|
85% |
7702
620.0 IPS |
|
|
Face Detection (SP)
|
100% |
23273
276.5 IPS |
|
|
Face Detection (HP)
|
100% |
36185
430.0 IPS |
|
|
Face Detection (Q)
|
97% |
18373
219.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
45776
352.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78789
607.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
38846
310.5 IPS |
|
|
Style Transfer (SP)
|
100% |
182863
235.1 IPS |
|
|
Style Transfer (HP)
|
100% |
442980
569.5 IPS |
|
|
Style Transfer (Q)
|
98% |
163821
211.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34630
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51708
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24633
912.1 IPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
4254
5.68 KIPS |
|
|
Text Classification (Q)
|
97% |
1890
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3633
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4020
69.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1667
31.3 IPS |
