Dell Inc. XPS 8900
Geekbench AI Score
2354
Single Precision Score
2362
Half Precision Score
3350
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | March 31 2026 04:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 8900 |
| Motherboard | Dell Inc. 0XJ8C4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1474
274.2 IPS |
|
|
Image Classification (HP)
|
100% |
1485
276.2 IPS |
|
|
Image Classification (Q)
|
100% |
2208
410.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1458
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2469
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2710
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2721
3.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
5266
6.18 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (Q)
|
87% |
2239
179.6 IPS |
|
|
Face Detection (SP)
|
100% |
2912
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
2934
34.9 IPS |
|
|
Face Detection (Q)
|
97% |
5853
69.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3664
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3668
28.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
5932
46.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8208
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8266
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15049
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1727
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1740
64.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3071
113.8 IPS |
|
|
Text Classification (SP)
|
100% |
1725
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1730
2.31 KIPS |
|
|
Text Classification (Q)
|
91% |
715
961.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2436
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2410
41.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2418
41.6 IPS |
