Dell Inc. XPS 8960
Geekbench AI Score
4071
Single Precision Score
740
Half Precision Score
5054
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Rhouglum |
| Upload Date | August 15 2024 08:35 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 8960 |
| Motherboard | Dell Inc. 09M47G |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2677
497.8 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.4 IPS |
|
|
Image Classification (Q)
|
99% |
4335
808.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
274
4.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
3470
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10184
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
3893
4.54 IPS |
|
|
Pose Estimation (Q)
|
95% |
34013
39.9 IPS |
|
|
Object Detection (SP)
|
100% |
2932
232.6 IPS |
|
|
Object Detection (HP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (Q)
|
88% |
2329
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
3897
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
258
3.06 IPS |
|
|
Face Detection (Q)
|
97% |
5085
60.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8067
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
769
5.92 IPS |
|
|
Depth Estimation (Q)
|
76% |
10730
86.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23347
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9795
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20602
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3139
115.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2210
81.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5188
192.1 IPS |
|
|
Text Classification (SP)
|
100% |
1676
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
663
884.5 IPS |
|
|
Text Classification (Q)
|
97% |
636
852.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1688
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2462
54.9 IPS |
