Dell Inc. XPS 8910
Geekbench AI Score
1478
Single Precision Score
523
Half Precision Score
2350
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | JunkIce |
| Upload Date | July 29 2025 10:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6700 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Dell Inc. XPS 8910 |
| Motherboard | Dell Inc. 0WPMFG |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
939
174.6 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.2 IPS |
|
|
Image Classification (Q)
|
94% |
2059
384.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
1387
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2699
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2339
2.73 IPS |
|
|
Pose Estimation (Q)
|
86% |
4949
5.85 IPS |
|
|
Object Detection (SP)
|
100% |
870
69.0 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
58% |
1431
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
925
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
216
2.56 IPS |
|
|
Face Detection (Q)
|
96% |
4083
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2739
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
730
5.63 IPS |
|
|
Depth Estimation (Q)
|
78% |
4409
35.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6517
8.38 IPS |
|
|
Style Transfer (HP)
|
100% |
5482
7.05 IPS |
|
|
Style Transfer (Q)
|
87% |
6173
8.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1259
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1125
41.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1660
61.5 IPS |
|
|
Text Classification (SP)
|
100% |
1405
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
460
614.3 IPS |
|
|
Text Classification (Q)
|
97% |
1072
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (Q)
|
68% |
1287
24.9 IPS |
