Micro-Star International Co., Ltd. Titan 18 HX A14VIG
Geekbench AI Score
20393
Single Precision Score
27338
Half Precision Score
16285
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Pant_Ninja |
| Upload Date | November 21 2024 03:38 AM |
| Views | 1 |
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 |
| 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% |
7580
1.41 KIPS |
|
|
Image Classification (HP)
|
99% |
10339
1.93 KIPS |
|
|
Image Classification (Q)
|
100% |
7065
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8994
145.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9384
152.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8903
144.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
188885
220.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
345397
403.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
166294
194.7 IPS |
|
|
Object Detection (SP)
|
100% |
9639
764.6 IPS |
|
|
Object Detection (HP)
|
100% |
12724
1.01 KIPS |
|
|
Object Detection (Q)
|
89% |
8548
684.4 IPS |
|
|
Face Detection (SP)
|
100% |
23155
275.1 IPS |
|
|
Face Detection (HP)
|
100% |
24764
294.3 IPS |
|
|
Face Detection (Q)
|
97% |
20306
242.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
57854
445.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
106361
821.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
46110
371.5 IPS |
|
|
Style Transfer (SP)
|
100% |
293859
377.8 IPS |
|
|
Style Transfer (HP)
|
100% |
607681
781.2 IPS |
|
|
Style Transfer (Q)
|
98% |
261907
337.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37739
1.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47761
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28573
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2851
3.81 KIPS |
|
|
Text Classification (HP)
|
99% |
3065
4.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1625
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2367
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2334
40.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1289
28.8 IPS |
