Dell Inc. XPS 8900
Geekbench AI Score
4114
Single Precision Score
4189
Half Precision Score
3056
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | March 31 2026 04:07 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 Ti |
| 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% |
880
163.6 IPS |
|
|
Image Classification (HP)
|
100% |
1701
316.4 IPS |
|
|
Image Classification (Q)
|
99% |
819
152.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2583
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2121
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22989
26.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12779
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18823
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
1232
97.7 IPS |
|
|
Object Detection (HP)
|
100% |
2078
164.8 IPS |
|
|
Object Detection (Q)
|
83% |
1117
90.3 IPS |
|
|
Face Detection (SP)
|
100% |
2419
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
3743
44.5 IPS |
|
|
Face Detection (Q)
|
97% |
2163
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8001
61.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7545
58.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6435
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
39043
50.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23547
30.3 IPS |
|
|
Style Transfer (Q)
|
98% |
30464
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7781
287.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5932
219.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5142
190.4 IPS |
|
|
Text Classification (SP)
|
100% |
1423
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1611
2.15 KIPS |
|
|
Text Classification (Q)
|
97% |
844
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2581
44.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2506
43.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1058
19.8 IPS |
