Dell Inc. XPS 8960
Geekbench AI Score
4562
Single Precision Score
1308
Half Precision Score
7175
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 07:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 8960 |
| Motherboard | Dell Inc. 0XD433 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700 |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4212
783.4 IPS |
|
|
Image Classification (HP)
|
100% |
615
114.3 IPS |
|
|
Image Classification (Q)
|
99% |
6838
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3994
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8573
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
4474
5.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
28862
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
3403
269.9 IPS |
|
|
Object Detection (HP)
|
100% |
759
60.2 IPS |
|
|
Object Detection (Q)
|
86% |
7228
580.9 IPS |
|
|
Face Detection (SP)
|
100% |
7973
94.7 IPS |
|
|
Face Detection (HP)
|
100% |
1730
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
11264
134.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10403
80.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1873
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
16180
129.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19562
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9363
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16459
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3258
120.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
467
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3653
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
1617
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
656
875.1 IPS |
|
|
Text Classification (Q)
|
97% |
1604
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1769
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3613
72.6 IPS |
