Dell Inc. XPS 8960
Geekbench ML Score
24884
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 03 2024 12:41 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. XPS 8960 |
| Motherboard | Dell Inc. 09M47G |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 14 |
| L1 Data Cache | 48.0 KB x 14 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 33.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11353
2.12 KIPS |
|
|
Image Classification (F16)
|
100% |
11838
2.22 KIPS |
|
|
Image Classification (I8)
|
100% |
9744
1.82 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16145
269.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
15835
264.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
15372
256.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
236258
286.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
230359
279.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
208528
252.5 IPS |
|
|
Object Detection (F32)
|
100% |
7923
591.5 IPS |
|
|
Object Detection (F16)
|
100% |
7776
580.5 IPS |
|
|
Object Detection (I8)
|
56% |
7341
548.0 IPS |
|
|
Face Detection (F32)
|
100% |
36803
437.6 IPS |
|
|
Face Detection (F16)
|
100% |
38090
452.9 IPS |
|
|
Face Detection (I8)
|
89% |
31130
370.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
69504
539.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
69168
536.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
55035
426.8 IPS |
|
|
Style Transfer (F32)
|
100% |
340375
447.7 IPS |
|
|
Style Transfer (F16)
|
100% |
326844
429.9 IPS |
|
|
Style Transfer (I8)
|
98% |
302177
397.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
45166
1.61 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
49235
1.76 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
35000
1.25 KIPS |
|
|
Text Classification (F32)
|
100% |
3195
4.59 KIPS |
|
|
Text Classification (F16)
|
100% |
3151
4.53 KIPS |
|
|
Text Classification (I8)
|
98% |
1957
2.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
4414
81.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4366
80.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2492
45.9 IPS |
