Micro-Star International Co., Ltd. Titan 18 HX A14VIG
Geekbench AI Score
18475
Single Precision Score
23937
Half Precision Score
14891
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Pant_Ninja |
| Upload Date | November 21 2024 12:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 Laptop GPU |
| 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 | Balanced |
| 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% |
7187
1.34 KIPS |
|
|
Image Classification (HP)
|
99% |
9676
1.80 KIPS |
|
|
Image Classification (Q)
|
100% |
6326
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8763
142.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9057
146.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8089
131.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
182074
212.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
322780
376.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
164994
193.2 IPS |
|
|
Object Detection (SP)
|
100% |
9087
720.8 IPS |
|
|
Object Detection (HP)
|
100% |
10460
829.7 IPS |
|
|
Object Detection (Q)
|
89% |
7053
564.6 IPS |
|
|
Face Detection (SP)
|
100% |
20286
241.0 IPS |
|
|
Face Detection (HP)
|
100% |
21319
253.3 IPS |
|
|
Face Detection (Q)
|
97% |
18566
221.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
55314
426.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
88471
683.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
42666
343.7 IPS |
|
|
Style Transfer (SP)
|
100% |
274591
353.0 IPS |
|
|
Style Transfer (HP)
|
100% |
501098
644.2 IPS |
|
|
Style Transfer (Q)
|
98% |
249448
321.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30293
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40665
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26899
996.0 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
2736
3.65 KIPS |
|
|
Text Classification (Q)
|
97% |
1371
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2070
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1985
34.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1236
27.6 IPS |
