Micro-Star International Co., Ltd. Raider GE78HX 13VI
Geekbench AI Score
4560
Single Precision Score
845
Half Precision Score
5216
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | usmc362 |
| Upload Date | August 16 2024 08:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13980HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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% |
2592
482.0 IPS |
|
|
Image Classification (HP)
|
100% |
146
27.2 IPS |
|
|
Image Classification (Q)
|
99% |
4094
763.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2285
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
3349
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11431
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4593
5.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
35301
41.4 IPS |
|
|
Object Detection (SP)
|
100% |
3082
244.4 IPS |
|
|
Object Detection (HP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (Q)
|
88% |
2389
191.5 IPS |
|
|
Face Detection (SP)
|
100% |
4819
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
350
4.16 IPS |
|
|
Face Detection (Q)
|
97% |
4799
57.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10223
78.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
943
7.26 IPS |
|
|
Depth Estimation (Q)
|
76% |
11206
90.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25312
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11767
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
28088
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3988
147.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2178
80.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5381
199.2 IPS |
|
|
Text Classification (SP)
|
100% |
1734
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
727
970.0 IPS |
|
|
Text Classification (Q)
|
97% |
583
780.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2164
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2722
60.7 IPS |
