Micro-Star International Co., Ltd. Titan 18 HX A14VIG
Geekbench AI Score
4818
Single Precision Score
4786
Half Precision Score
13322
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 10:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900HX |
| 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 | Zrwnowaony |
| 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% |
3214
597.7 IPS |
|
|
Image Classification (HP)
|
100% |
3146
585.0 IPS |
|
|
Image Classification (Q)
|
100% |
9391
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3775
61.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4309
69.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10750
174.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8789
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8738
10.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
29455
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
2697
213.9 IPS |
|
|
Object Detection (HP)
|
100% |
2513
199.4 IPS |
|
|
Object Detection (Q)
|
88% |
10214
818.8 IPS |
|
|
Face Detection (SP)
|
100% |
7808
92.8 IPS |
|
|
Face Detection (HP)
|
100% |
8582
102.0 IPS |
|
|
Face Detection (Q)
|
100% |
23121
274.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7422
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8037
61.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
27325
212.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22065
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22136
28.5 IPS |
|
|
Style Transfer (Q)
|
98% |
66375
85.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3791
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4104
151.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16168
598.8 IPS |
|
|
Text Classification (SP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2402
3.21 KIPS |
|
|
Text Classification (Q)
|
92% |
4995
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1979
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1410
24.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1712
29.5 IPS |
