Micro-Star International Co., Ltd. RAIDER GE78HX 13VI
Geekbench AI Score
5662
Single Precision Score
1596
Half Precision Score
8415
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | zenckers81 |
| Upload Date | September 27 2025 05:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13980HX |
| 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 | Bitsum Highest Performance |
| 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% |
4352
809.4 IPS |
|
|
Image Classification (HP)
|
100% |
554
103.1 IPS |
|
|
Image Classification (Q)
|
99% |
7228
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
927
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4253
69.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11423
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4693
5.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
34454
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
4296
340.7 IPS |
|
|
Object Detection (HP)
|
100% |
753
59.7 IPS |
|
|
Object Detection (Q)
|
86% |
8055
647.4 IPS |
|
|
Face Detection (SP)
|
100% |
12650
150.3 IPS |
|
|
Face Detection (HP)
|
100% |
1798
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
11954
142.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12898
99.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2120
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
17404
138.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25062
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11638
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28056
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4062
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2216
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5170
191.4 IPS |
|
|
Text Classification (SP)
|
100% |
1746
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
737
983.3 IPS |
|
|
Text Classification (Q)
|
97% |
1759
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2294
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3932
79.0 IPS |
