Micro-Star International Co., Ltd. Vector GP68HX 13VH
Geekbench AI Score
24956
Single Precision Score
38372
Half Precision Score
19433
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tmerla |
| Upload Date | September 18 2025 06:07 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Vector GP68HX 13VH |
| Motherboard | Micro-Star International Co., Ltd. MS-15M1 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13950HX |
| 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% |
9684
1.80 KIPS |
|
|
Image Classification (HP)
|
99% |
14397
2.69 KIPS |
|
|
Image Classification (Q)
|
100% |
8350
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16415
266.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20832
337.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15166
246.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
147041
171.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
388735
453.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
132160
154.8 IPS |
|
|
Object Detection (SP)
|
100% |
11660
924.9 IPS |
|
|
Object Detection (HP)
|
100% |
18450
1.46 KIPS |
|
|
Object Detection (Q)
|
85% |
10284
827.9 IPS |
|
|
Face Detection (SP)
|
100% |
33941
403.3 IPS |
|
|
Face Detection (HP)
|
100% |
46087
547.6 IPS |
|
|
Face Detection (Q)
|
97% |
28947
345.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
62652
482.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
110787
855.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
49737
397.6 IPS |
|
|
Style Transfer (SP)
|
100% |
262845
337.9 IPS |
|
|
Style Transfer (HP)
|
100% |
645045
829.2 IPS |
|
|
Style Transfer (Q)
|
98% |
230901
297.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41658
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52958
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31551
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3443
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
4278
5.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1948
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4290
73.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4312
74.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2185
41.0 IPS |
