Micro-Star International Co., Ltd. RAIDER GE78HX 13VI
Geekbench AI Score
2772
Single Precision Score
3830
Half Precision Score
6072
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | zenckers81 |
| Upload Date | June 22 2025 07:27 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Micro-Star International Co., Ltd. RAIDER GE78HX 13VI |
| Motherboard | Micro-Star International Co., Ltd. MS-17S1 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13980HX |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1809
336.4 IPS |
|
|
Image Classification (HP)
|
100% |
2736
508.8 IPS |
|
|
Image Classification (Q)
|
99% |
4484
836.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2642
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4300
69.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5208
84.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4627
5.40 IPS |
|
|
Pose Estimation (HP)
|
99% |
3369
3.93 IPS |
|
|
Pose Estimation (Q)
|
97% |
13877
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1613
127.9 IPS |
|
|
Object Detection (HP)
|
98% |
2659
211.6 IPS |
|
|
Object Detection (Q)
|
90% |
4872
389.6 IPS |
|
|
Face Detection (SP)
|
100% |
5507
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
8424
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
11465
136.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5525
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9260
71.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
12698
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12022
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18933
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
31931
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2192
81.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3564
131.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7359
272.5 IPS |
|
|
Text Classification (SP)
|
71% |
759
1.10 KIPS |
|
|
Text Classification (HP)
|
71% |
800
1.16 KIPS |
|
|
Text Classification (Q)
|
92% |
827
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1533
26.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1527
26.3 IPS |
