SAMSUNG ELECTRONICS CO., LTD. 900X3J
Geekbench AI Score
277
Single Precision Score
250
Half Precision Score
155
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| Upload Date | November 19 2024 07:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-7200U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | SAMSUNG ELECTRONICS CO., LTD. 900X3J |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP900X3J-KV1BR |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
338
62.8 IPS |
|
|
Image Classification (HP)
|
100% |
330
61.4 IPS |
|
|
Image Classification (Q)
|
99% |
101
18.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
139
2.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
138
2.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
82
1.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
167
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
302
0.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
235
0.28 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (HP)
|
100% |
117
9.30 IPS |
|
|
Object Detection (Q)
|
85% |
70
5.65 IPS |
|
|
Face Detection (SP)
|
100% |
313
3.72 IPS |
|
|
Face Detection (HP)
|
100% |
274
3.26 IPS |
|
|
Face Detection (Q)
|
97% |
220
2.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
476
3.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
231
1.78 IPS |
|
|
Depth Estimation (Q)
|
63% |
191
1.79 IPS |
|
|
Style Transfer (SP)
|
100% |
648
0.83 IPS |
|
|
Style Transfer (HP)
|
100% |
382
0.49 IPS |
|
|
Style Transfer (Q)
|
98% |
661
0.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
5.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
125
4.62 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
124
4.60 IPS |
|
|
Text Classification (SP)
|
100% |
275
366.8 IPS |
|
|
Text Classification (HP)
|
100% |
408
544.0 IPS |
|
|
Text Classification (Q)
|
92% |
213
286.4 IPS |
|
|
Machine Translation (SP)
|
100% |
560
9.65 IPS |
|
|
Machine Translation (HP)
|
100% |
499
8.60 IPS |
|
|
Machine Translation (Q)
|
58% |
85
2.01 IPS |
