Micro-Star International Co., Ltd. Raider GE78HX 13VI
Geekbench AI Score
4824
Single Precision Score
891
Half Precision Score
5446
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | usmc362 |
| Upload Date | August 16 2024 12:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13980HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Raider GE78HX 13VI |
| Motherboard | Micro-Star International Co., Ltd. MS-17S1 |
| Power Plan | Advanced SystemCare Power Plan |
| 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% |
2761
513.6 IPS |
|
|
Image Classification (HP)
|
100% |
152
28.2 IPS |
|
|
Image Classification (Q)
|
99% |
4209
785.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
3360
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11463
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4631
5.40 IPS |
|
|
Pose Estimation (Q)
|
95% |
36263
42.5 IPS |
|
|
Object Detection (SP)
|
100% |
3112
246.8 IPS |
|
|
Object Detection (HP)
|
100% |
220
17.4 IPS |
|
|
Object Detection (Q)
|
88% |
2531
202.9 IPS |
|
|
Face Detection (SP)
|
100% |
5682
67.5 IPS |
|
|
Face Detection (HP)
|
100% |
378
4.49 IPS |
|
|
Face Detection (Q)
|
97% |
5648
67.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11260
86.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1034
7.97 IPS |
|
|
Depth Estimation (Q)
|
76% |
11861
95.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26768
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11529
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29748
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4380
161.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2307
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5360
198.5 IPS |
|
|
Text Classification (SP)
|
100% |
1834
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
624
835.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2112
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2657
59.3 IPS |
