Micro-Star International Co., Ltd. RAIDER GE78HX 13VI
Geekbench AI Score
5947
Single Precision Score
5968
Half Precision Score
14101
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | zenckers81 |
| Upload Date | September 27 2025 05:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
3500
651.0 IPS |
|
|
Image Classification (HP)
|
100% |
3535
657.4 IPS |
|
|
Image Classification (Q)
|
100% |
9043
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4924
79.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4908
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10271
166.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8634
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8834
10.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
29314
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
3346
265.4 IPS |
|
|
Object Detection (HP)
|
100% |
3362
266.7 IPS |
|
|
Object Detection (Q)
|
88% |
9743
781.0 IPS |
|
|
Face Detection (SP)
|
100% |
10988
130.6 IPS |
|
|
Face Detection (HP)
|
100% |
11054
131.3 IPS |
|
|
Face Detection (Q)
|
100% |
22599
268.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9753
75.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9647
74.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
26367
205.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26146
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26128
33.6 IPS |
|
|
Style Transfer (Q)
|
98% |
84209
108.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4771
176.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4824
178.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15580
577.0 IPS |
|
|
Text Classification (SP)
|
100% |
2900
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2877
3.84 KIPS |
|
|
Text Classification (Q)
|
92% |
5043
6.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2869
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2878
49.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2974
51.2 IPS |
