equinox Dell Inc. XPS 13 9350
Geekbench AI Score
540
Single Precision Score
541
Half Precision Score
290
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | jamesbogert |
| Upload Date | December 09 2024 12:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-6200U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Dell Inc. XPS 13 9350 |
| Motherboard | Dell Inc. 07TYC2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
333
61.9 IPS |
|
|
Image Classification (HP)
|
100% |
339
63.0 IPS |
|
|
Image Classification (Q)
|
99% |
181
33.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
428
6.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
429
6.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
215
3.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
570
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
567
0.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
426
0.50 IPS |
|
|
Object Detection (SP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (HP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (Q)
|
85% |
190
15.3 IPS |
|
|
Face Detection (SP)
|
100% |
748
8.89 IPS |
|
|
Face Detection (HP)
|
100% |
748
8.89 IPS |
|
|
Face Detection (Q)
|
97% |
428
5.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
682
5.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
669
5.16 IPS |
|
|
Depth Estimation (Q)
|
63% |
387
3.63 IPS |
|
|
Style Transfer (SP)
|
100% |
982
1.26 IPS |
|
|
Style Transfer (HP)
|
100% |
978
1.26 IPS |
|
|
Style Transfer (Q)
|
98% |
964
1.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
368
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
257
9.54 IPS |
|
|
Text Classification (SP)
|
100% |
530
708.1 IPS |
|
|
Text Classification (HP)
|
100% |
539
719.0 IPS |
|
|
Text Classification (Q)
|
92% |
178
239.6 IPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
798
13.7 IPS |
|
|
Machine Translation (Q)
|
58% |
185
4.35 IPS |
