Micro-Star International Co., Ltd. Raider GE78 HX 14VHG
Geekbench AI Score
5878
Single Precision Score
1786
Half Precision Score
9476
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | JohnnieTheRabbit |
| Upload Date | July 15 2025 10:29 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Raider GE78 HX 14VHG |
| Motherboard | Micro-Star International Co., Ltd. MS-17S1 |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4807
893.9 IPS |
|
|
Image Classification (HP)
|
100% |
615
114.3 IPS |
|
|
Image Classification (Q)
|
99% |
7383
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1144
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12856
209.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12070
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5133
5.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
34176
40.1 IPS |
|
|
Object Detection (SP)
|
100% |
4547
360.7 IPS |
|
|
Object Detection (HP)
|
100% |
807
64.0 IPS |
|
|
Object Detection (Q)
|
86% |
7930
637.3 IPS |
|
|
Face Detection (SP)
|
100% |
13700
162.8 IPS |
|
|
Face Detection (HP)
|
100% |
1843
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
12380
147.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13466
103.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2466
19.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
18868
150.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26296
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12717
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27112
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4120
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2358
87.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6158
228.0 IPS |
|
|
Text Classification (SP)
|
100% |
1677
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
796
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1542
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2419
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3777
75.9 IPS |
