Dell Inc. XPS 8900
Geekbench AI Score
4090
Single Precision Score
4148
Half Precision Score
3022
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | October 12 2025 08:06 PM |
| Views | 2 |
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% |
867
161.2 IPS |
|
|
Image Classification (HP)
|
100% |
1639
304.8 IPS |
|
|
Image Classification (Q)
|
99% |
804
150.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2527
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2253
36.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2075
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22976
26.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12979
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18856
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
1223
97.0 IPS |
|
|
Object Detection (HP)
|
100% |
2066
163.9 IPS |
|
|
Object Detection (Q)
|
83% |
1105
89.3 IPS |
|
|
Face Detection (SP)
|
100% |
2389
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
3624
43.1 IPS |
|
|
Face Detection (Q)
|
97% |
2132
25.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8019
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7535
58.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6433
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
38954
50.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23602
30.3 IPS |
|
|
Style Transfer (Q)
|
98% |
30306
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7680
283.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5850
216.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5060
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
1447
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1616
2.16 KIPS |
|
|
Text Classification (Q)
|
97% |
824
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2567
44.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2504
43.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1058
19.8 IPS |
