Micro-Star International Co., Ltd. Titan 18 HX A14VIG
Geekbench AI Score
19188
Single Precision Score
25449
Half Precision Score
15712
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Pant_Ninja |
| Upload Date | November 21 2024 12:54 AM |
| Views | 4 |
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% |
6356
1.18 KIPS |
|
|
Image Classification (HP)
|
99% |
8043
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
6035
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8240
133.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9082
147.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8215
133.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
180216
210.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
329350
384.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
165575
193.9 IPS |
|
|
Object Detection (SP)
|
100% |
9417
747.0 IPS |
|
|
Object Detection (HP)
|
100% |
11549
916.1 IPS |
|
|
Object Detection (Q)
|
89% |
8218
657.9 IPS |
|
|
Face Detection (SP)
|
100% |
22280
264.7 IPS |
|
|
Face Detection (HP)
|
100% |
23624
280.7 IPS |
|
|
Face Detection (Q)
|
97% |
19891
237.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
57409
442.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
96953
749.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
44985
362.4 IPS |
|
|
Style Transfer (SP)
|
100% |
291981
375.3 IPS |
|
|
Style Transfer (HP)
|
100% |
559720
719.5 IPS |
|
|
Style Transfer (Q)
|
98% |
255040
328.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35484
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45841
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28758
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2649
3.54 KIPS |
|
|
Text Classification (HP)
|
99% |
3176
4.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1656
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2169
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2198
37.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1251
27.9 IPS |
