Micro-Star International Co., Ltd. Titan 18 HX A14VIG
Geekbench AI Score
18592
Single Precision Score
23786
Half Precision Score
15165
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Pant_Ninja |
| Upload Date | November 21 2024 01:29 AM |
| Views | 2 |
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% |
7519
1.40 KIPS |
|
|
Image Classification (HP)
|
99% |
6836
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
6349
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8080
131.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8943
145.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7679
124.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
186516
217.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
307656
359.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
161902
189.6 IPS |
|
|
Object Detection (SP)
|
100% |
8718
691.5 IPS |
|
|
Object Detection (HP)
|
100% |
10641
844.1 IPS |
|
|
Object Detection (Q)
|
89% |
7706
617.0 IPS |
|
|
Face Detection (SP)
|
100% |
20557
244.3 IPS |
|
|
Face Detection (HP)
|
100% |
22068
262.2 IPS |
|
|
Face Detection (Q)
|
97% |
19512
232.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
58009
446.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
96006
741.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
45402
365.8 IPS |
|
|
Style Transfer (SP)
|
100% |
268959
345.8 IPS |
|
|
Style Transfer (HP)
|
100% |
503925
647.8 IPS |
|
|
Style Transfer (Q)
|
98% |
252139
325.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32006
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46064
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27687
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2545
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
3041
4.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1457
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1913
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1937
33.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1174
26.2 IPS |
