Micro-Star International Co., Ltd. Titan 18 HX A14VIG
Geekbench ML Score
4685
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 23 2024 08:46 PM |
| Views | 2 |
System Information
| 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 |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2634
492.9 IPS |
|
|
Image Classification (F16)
|
100% |
2653
496.5 IPS |
|
|
Image Classification (I8)
|
99% |
4230
791.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2073
34.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2129
35.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3323
55.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
10795
13.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
10805
13.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
32395
39.2 IPS |
|
|
Object Detection (F32)
|
100% |
2344
175.0 IPS |
|
|
Object Detection (F16)
|
100% |
2380
177.7 IPS |
|
|
Object Detection (I8)
|
62% |
2022
151.0 IPS |
|
|
Face Detection (F32)
|
100% |
4500
53.5 IPS |
|
|
Face Detection (F16)
|
100% |
4445
52.9 IPS |
|
|
Face Detection (I8)
|
89% |
4692
55.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
9989
77.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10116
78.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
16221
125.8 IPS |
|
|
Style Transfer (F32)
|
100% |
24437
32.1 IPS |
|
|
Style Transfer (F16)
|
100% |
24816
32.6 IPS |
|
|
Style Transfer (I8)
|
98% |
24000
31.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4678
167.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4766
170.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5825
208.0 IPS |
|
|
Text Classification (F32)
|
100% |
1740
2.50 KIPS |
|
|
Text Classification (F16)
|
100% |
1760
2.53 KIPS |
|
|
Text Classification (I8)
|
98% |
478
686.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2318
42.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2288
42.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3186
58.6 IPS |
