Micro-Star International Co., Ltd. Titan 18 HX A14VIG
Geekbench AI Score
4971
Single Precision Score
1540
Half Precision Score
8252
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 10:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Titan 18 HX A14VIG |
| Motherboard | Micro-Star International Co., Ltd. MS-1822 |
| Power Plan | Zrwnowaony |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4268
793.8 IPS |
|
|
Image Classification (HP)
|
100% |
536
99.6 IPS |
|
|
Image Classification (Q)
|
99% |
6402
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
923
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10815
175.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10306
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
4656
5.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
29097
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3735
296.3 IPS |
|
|
Object Detection (HP)
|
100% |
728
57.7 IPS |
|
|
Object Detection (Q)
|
86% |
6559
527.1 IPS |
|
|
Face Detection (SP)
|
100% |
11952
142.0 IPS |
|
|
Face Detection (HP)
|
100% |
1646
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
10917
130.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11692
90.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2075
16.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16569
132.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22545
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10947
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27201
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3202
118.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1997
73.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5246
194.2 IPS |
|
|
Text Classification (SP)
|
100% |
1373
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
692
923.7 IPS |
|
|
Text Classification (Q)
|
97% |
1347
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1947
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3188
64.1 IPS |
