Dell Inc. XPS 8910
Geekbench AI Score
876
Single Precision Score
878
Half Precision Score
654
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | JunkIce |
| Upload Date | July 29 2025 10:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
736
136.8 IPS |
|
|
Image Classification (HP)
|
100% |
752
139.8 IPS |
|
|
Image Classification (Q)
|
99% |
430
80.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
491
7.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
947
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
948
1.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
1090
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
746
59.2 IPS |
|
|
Object Detection (HP)
|
100% |
755
59.9 IPS |
|
|
Object Detection (Q)
|
85% |
470
37.8 IPS |
|
|
Face Detection (SP)
|
100% |
926
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
922
11.0 IPS |
|
|
Face Detection (Q)
|
97% |
1002
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
931
7.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
930
7.16 IPS |
|
|
Depth Estimation (Q)
|
63% |
898
8.42 IPS |
|
|
Style Transfer (SP)
|
100% |
1103
1.42 IPS |
|
|
Style Transfer (HP)
|
100% |
1103
1.42 IPS |
|
|
Style Transfer (Q)
|
98% |
2117
2.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
640
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
635
23.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
645
23.9 IPS |
|
|
Text Classification (SP)
|
100% |
1148
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1151
1.54 KIPS |
|
|
Text Classification (Q)
|
92% |
360
483.8 IPS |
|
|
Machine Translation (SP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (Q)
|
58% |
302
7.08 IPS |
