SAMSUNG ELECTRONICS CO., LTD. 960XGK
Geekbench ML Score
2820
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 09:54 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT960XGK-K71AG |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1407
263.4 IPS |
|
|
Image Classification (F16)
|
100% |
1422
266.2 IPS |
|
|
Image Classification (I8)
|
99% |
2514
470.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1217
20.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1347
22.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2015
33.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5473
6.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
5393
6.53 IPS |
|
|
Pose Estimation (I8)
|
100% |
18791
22.8 IPS |
|
|
Object Detection (F32)
|
100% |
1515
113.1 IPS |
|
|
Object Detection (F16)
|
100% |
1422
106.1 IPS |
|
|
Object Detection (I8)
|
62% |
1305
97.4 IPS |
|
|
Face Detection (F32)
|
100% |
3336
39.7 IPS |
|
|
Face Detection (F16)
|
100% |
3388
40.3 IPS |
|
|
Face Detection (I8)
|
89% |
3412
40.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5990
46.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5942
46.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
11174
86.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12772
16.8 IPS |
|
|
Style Transfer (F16)
|
100% |
12511
16.5 IPS |
|
|
Style Transfer (I8)
|
98% |
17944
23.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2347
83.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2489
88.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3416
122.0 IPS |
|
|
Text Classification (F32)
|
100% |
939
1.35 KIPS |
|
|
Text Classification (F16)
|
100% |
913
1.31 KIPS |
|
|
Text Classification (I8)
|
98% |
371
533.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1450
26.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1410
26.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2184
40.2 IPS |
