Micro-Star International Co., Ltd. RAIDER GE78HX 13VI
Geekbench AI Score
30899
Single Precision Score
45178
Half Precision Score
23907
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | zenckers81 |
| Upload Date | June 11 2025 12:06 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 Laptop GPU |
| 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% |
12204
2.27 KIPS |
|
|
Image Classification (HP)
|
99% |
17380
3.24 KIPS |
|
|
Image Classification (Q)
|
100% |
10599
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19142
310.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23849
386.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17522
284.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
213439
249.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
443843
517.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
194290
227.6 IPS |
|
|
Object Detection (SP)
|
100% |
14827
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
20486
1.62 KIPS |
|
|
Object Detection (Q)
|
85% |
12796
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
41987
498.9 IPS |
|
|
Face Detection (HP)
|
100% |
53819
639.5 IPS |
|
|
Face Detection (Q)
|
97% |
36362
433.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
77085
593.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
139719
1.08 KIPS |
|
|
Depth Estimation (Q)
|
78% |
58892
470.3 IPS |
|
|
Style Transfer (SP)
|
100% |
344847
443.3 IPS |
|
|
Style Transfer (HP)
|
100% |
778724
1.00 KIPS |
|
|
Style Transfer (Q)
|
98% |
298135
384.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51083
1.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69531
2.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38741
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
3786
5.05 KIPS |
|
|
Text Classification (HP)
|
99% |
4744
6.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2197
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4972
85.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4867
83.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2431
45.6 IPS |
