Micro-Star International Co., Ltd. Titan 18 HX A14VIG
Geekbench AI Score
17878
Single Precision Score
23419
Half Precision Score
14246
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Pant_Ninja |
| Upload Date | November 21 2024 12:51 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% |
6774
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
8964
1.67 KIPS |
|
|
Image Classification (Q)
|
100% |
6291
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8756
141.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9298
150.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8058
131.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
171176
199.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
298313
348.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
150347
176.1 IPS |
|
|
Object Detection (SP)
|
100% |
8719
691.6 IPS |
|
|
Object Detection (HP)
|
100% |
9718
770.8 IPS |
|
|
Object Detection (Q)
|
89% |
7183
575.1 IPS |
|
|
Face Detection (SP)
|
100% |
19385
230.3 IPS |
|
|
Face Detection (HP)
|
100% |
22056
262.1 IPS |
|
|
Face Detection (Q)
|
97% |
17664
210.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
48557
374.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
83809
647.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
40806
328.7 IPS |
|
|
Style Transfer (SP)
|
100% |
265964
341.9 IPS |
|
|
Style Transfer (HP)
|
100% |
535710
688.7 IPS |
|
|
Style Transfer (Q)
|
98% |
230818
297.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32345
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37380
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24914
922.5 IPS |
|
|
Text Classification (SP)
|
100% |
2267
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
2715
3.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1236
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2053
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2044
35.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1228
27.4 IPS |
