Dell Inc. XPS 15 9510
Geekbench AI Score
1741
Single Precision Score
1649
Half Precision Score
943
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | acrosstheocean |
| Upload Date | March 23 2025 07:55 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Dell Inc. XPS 15 9510 |
| Motherboard | Dell Inc. 01V4T3 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1510
280.9 IPS |
|
|
Image Classification (HP)
|
100% |
1604
298.3 IPS |
|
|
Image Classification (Q)
|
99% |
575
107.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
770
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2099
2.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2023
2.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1813
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
1323
104.9 IPS |
|
|
Object Detection (HP)
|
100% |
1045
82.9 IPS |
|
|
Object Detection (Q)
|
85% |
604
48.6 IPS |
|
|
Face Detection (SP)
|
100% |
2311
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
2280
27.1 IPS |
|
|
Face Detection (Q)
|
97% |
1498
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2091
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2088
16.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1307
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2254
2.90 IPS |
|
|
Style Transfer (HP)
|
100% |
2227
2.86 IPS |
|
|
Style Transfer (Q)
|
98% |
3616
4.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1377
50.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1358
50.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
932
34.5 IPS |
|
|
Text Classification (SP)
|
100% |
1429
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1064
1.42 KIPS |
|
|
Text Classification (Q)
|
92% |
349
468.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2088
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2086
35.9 IPS |
|
|
Machine Translation (Q)
|
58% |
501
11.8 IPS |
