Dell Inc. XPS 8910
Geekbench AI Score
2212
Single Precision Score
2207
Half Precision Score
3461
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | JunkIce |
| Upload Date | July 29 2025 10:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz |
| 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% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
1397
259.7 IPS |
|
|
Image Classification (Q)
|
100% |
2384
443.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1196
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1191
19.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2365
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2991
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2990
3.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
5591
6.56 IPS |
|
|
Object Detection (SP)
|
100% |
1341
106.3 IPS |
|
|
Object Detection (HP)
|
100% |
1321
104.7 IPS |
|
|
Object Detection (Q)
|
87% |
2350
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
2004
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
2001
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
5768
68.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3570
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3589
27.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
6249
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8294
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8289
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15750
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1685
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1674
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3327
123.2 IPS |
|
|
Text Classification (SP)
|
100% |
1846
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1843
2.46 KIPS |
|
|
Text Classification (Q)
|
91% |
783
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2305
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2279
39.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2257
38.9 IPS |
