Dell Inc. Studio XPS 9100
Geekbench AI Score
344
Single Precision Score
230
Half Precision Score
487
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | March 08 2025 07:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-930 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Studio XPS 9100 |
| Motherboard | Dell Inc. 05DN3X |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-930 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 26 Stepping 5 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
145
27.0 IPS |
|
|
Image Classification (HP)
|
100% |
71
13.2 IPS |
|
|
Image Classification (Q)
|
96% |
263
49.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
159
2.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
157
2.54 IPS |
|
|
Image Segmentation (Q)
|
97% |
348
5.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
428
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
416
0.48 IPS |
|
|
Pose Estimation (Q)
|
86% |
758
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.71 IPS |
|
|
Object Detection (Q)
|
58% |
290
31.7 IPS |
|
|
Face Detection (SP)
|
100% |
670
7.96 IPS |
|
|
Face Detection (HP)
|
100% |
323
3.84 IPS |
|
|
Face Detection (Q)
|
96% |
695
8.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
605
4.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
343
2.65 IPS |
|
|
Depth Estimation (Q)
|
78% |
899
7.16 IPS |
|
|
Style Transfer (SP)
|
100% |
1111
1.43 IPS |
|
|
Style Transfer (HP)
|
100% |
1082
1.39 IPS |
|
|
Style Transfer (Q)
|
87% |
1741
2.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
254
9.39 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
239
8.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
376
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
283
378.0 IPS |
|
|
Text Classification (HP)
|
100% |
161
215.5 IPS |
|
|
Text Classification (Q)
|
97% |
185
248.4 IPS |
|
|
Machine Translation (SP)
|
100% |
357
6.16 IPS |
|
|
Machine Translation (HP)
|
100% |
164
2.83 IPS |
|
|
Machine Translation (Q)
|
68% |
495
9.57 IPS |
