Dell Inc. XPS 8960
Geekbench AI Score
2666
Single Precision Score
3744
Half Precision Score
5813
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | GT-Avalanche |
| Upload Date | March 30 2026 05:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (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% |
1684
313.1 IPS |
|
|
Image Classification (HP)
|
100% |
2763
513.8 IPS |
|
|
Image Classification (Q)
|
99% |
4222
787.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4113
66.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4789
77.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4515
5.27 IPS |
|
|
Pose Estimation (HP)
|
99% |
3280
3.83 IPS |
|
|
Pose Estimation (Q)
|
97% |
13450
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1536
121.8 IPS |
|
|
Object Detection (HP)
|
98% |
2438
194.0 IPS |
|
|
Object Detection (Q)
|
90% |
4563
364.8 IPS |
|
|
Face Detection (SP)
|
100% |
5394
64.1 IPS |
|
|
Face Detection (HP)
|
100% |
8316
98.8 IPS |
|
|
Face Detection (Q)
|
100% |
11015
130.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5261
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8910
68.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
12203
94.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11932
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16838
21.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30968
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2103
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3420
126.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7057
261.3 IPS |
|
|
Text Classification (SP)
|
71% |
732
1.06 KIPS |
|
|
Text Classification (HP)
|
71% |
889
1.29 KIPS |
|
|
Text Classification (Q)
|
92% |
772
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1571
27.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1568
27.0 IPS |
