Dell Inc. XPS 8960
Geekbench AI Score
5163
Single Precision Score
1681
Half Precision Score
8832
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | GT-Avalanche |
| Upload Date | November 01 2025 03:38 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows11 ducation (64-bit) |
| Model | Dell Inc. XPS 8960 |
| Motherboard | Dell Inc. 09M47G |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4263
792.8 IPS |
|
|
Image Classification (HP)
|
100% |
614
114.2 IPS |
|
|
Image Classification (Q)
|
99% |
6910
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1104
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12106
196.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10682
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4907
5.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
31416
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
3672
291.3 IPS |
|
|
Object Detection (HP)
|
100% |
750
59.5 IPS |
|
|
Object Detection (Q)
|
86% |
7251
582.8 IPS |
|
|
Face Detection (SP)
|
100% |
12076
143.5 IPS |
|
|
Face Detection (HP)
|
100% |
1730
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
11722
139.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11388
87.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2184
16.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15718
125.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23626
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12104
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
27215
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3557
131.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2047
75.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6310
233.6 IPS |
|
|
Text Classification (SP)
|
100% |
1589
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1442
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2194
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3323
66.8 IPS |
