Micro-Star International Co., Ltd. Titan 18 HX A14VIG
Geekbench AI Score
23859
Single Precision Score
35980
Half Precision Score
18287
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | PemmicanRen |
| Upload Date | December 25 2024 06:39 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 (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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9030
1.68 KIPS |
|
|
Image Classification (HP)
|
99% |
14713
2.74 KIPS |
|
|
Image Classification (Q)
|
100% |
8078
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13082
212.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16498
267.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12332
200.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
172129
200.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
370190
432.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
162747
190.7 IPS |
|
|
Object Detection (SP)
|
100% |
11633
922.8 IPS |
|
|
Object Detection (HP)
|
100% |
16206
1.29 KIPS |
|
|
Object Detection (Q)
|
85% |
10045
808.1 IPS |
|
|
Face Detection (SP)
|
100% |
30825
366.3 IPS |
|
|
Face Detection (HP)
|
100% |
39874
473.8 IPS |
|
|
Face Detection (Q)
|
97% |
26971
321.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
57198
440.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
112102
866.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
42825
342.0 IPS |
|
|
Style Transfer (SP)
|
100% |
292839
376.4 IPS |
|
|
Style Transfer (HP)
|
100% |
664820
854.6 IPS |
|
|
Style Transfer (Q)
|
98% |
251600
324.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42100
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56018
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30739
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
4213
5.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1715
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3575
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1677
31.4 IPS |
