Dell Inc. XPS 8950
Geekbench AI Score
4592
Single Precision Score
1790
Half Precision Score
8238
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 28 2025 05:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. XPS 8950 |
| Motherboard | Dell Inc. 09D2HH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3712
690.3 IPS |
|
|
Image Classification (HP)
|
100% |
675
125.5 IPS |
|
|
Image Classification (Q)
|
99% |
6941
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1166
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9343
151.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7277
8.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
4208
4.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
25261
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
3589
284.7 IPS |
|
|
Object Detection (HP)
|
100% |
865
68.6 IPS |
|
|
Object Detection (Q)
|
86% |
6573
528.2 IPS |
|
|
Face Detection (SP)
|
100% |
8760
104.1 IPS |
|
|
Face Detection (HP)
|
100% |
1933
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
10171
121.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9891
76.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2570
19.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15858
126.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18433
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12093
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
24832
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3216
118.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2287
84.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6280
232.5 IPS |
|
|
Text Classification (SP)
|
100% |
1826
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1577
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2383
41.1 IPS |
|
|
Machine Translation (HP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3372
67.8 IPS |
