GIGABYTE G6X9KG
Geekbench ML Score
12308
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 27 2024 06:20 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | GIGABYTE G6X9KG |
| Motherboard | GIGABYTE G6X9KG |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 10 |
| L1 Data Cache | 32.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6204
1.16 KIPS |
|
|
Image Classification (F16)
|
100% |
6131
1.15 KIPS |
|
|
Image Classification (I8)
|
100% |
5195
972.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
8289
138.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
8521
142.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
7821
130.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
70575
85.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
71377
86.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
63385
76.8 IPS |
|
|
Object Detection (F32)
|
100% |
4483
334.7 IPS |
|
|
Object Detection (F16)
|
100% |
4459
332.9 IPS |
|
|
Object Detection (I8)
|
61% |
4319
322.5 IPS |
|
|
Face Detection (F32)
|
100% |
16264
193.4 IPS |
|
|
Face Detection (F16)
|
100% |
17061
202.9 IPS |
|
|
Face Detection (I8)
|
89% |
13698
162.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
29959
232.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
36610
283.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
28652
222.2 IPS |
|
|
Style Transfer (F32)
|
100% |
126535
166.4 IPS |
|
|
Style Transfer (F16)
|
100% |
109654
144.2 IPS |
|
|
Style Transfer (I8)
|
98% |
96631
127.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20899
746.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20744
740.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15719
561.4 IPS |
|
|
Text Classification (F32)
|
100% |
2534
3.64 KIPS |
|
|
Text Classification (F16)
|
100% |
2504
3.60 KIPS |
|
|
Text Classification (I8)
|
98% |
1366
1.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
3145
57.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3136
57.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1813
33.4 IPS |
