Dell Inc. XPS 8960
Geekbench ML Score
24778
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 03 2024 12:40 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% |
11453
2.14 KIPS |
|
|
Image Classification (F16)
|
100% |
11327
2.12 KIPS |
|
|
Image Classification (I8)
|
100% |
9851
1.84 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16478
275.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
15915
265.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
15101
252.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
237508
287.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
233631
282.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
203492
246.4 IPS |
|
|
Object Detection (F32)
|
100% |
7701
574.9 IPS |
|
|
Object Detection (F16)
|
100% |
7718
576.2 IPS |
|
|
Object Detection (I8)
|
56% |
7153
534.0 IPS |
|
|
Face Detection (F32)
|
100% |
36211
430.6 IPS |
|
|
Face Detection (F16)
|
100% |
36072
428.9 IPS |
|
|
Face Detection (I8)
|
89% |
31915
379.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
68957
534.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
68017
527.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
55309
428.9 IPS |
|
|
Style Transfer (F32)
|
100% |
326657
429.7 IPS |
|
|
Style Transfer (F16)
|
100% |
327562
430.9 IPS |
|
|
Style Transfer (I8)
|
98% |
290569
382.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
46167
1.65 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
47485
1.70 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38084
1.36 KIPS |
|
|
Text Classification (F32)
|
100% |
3207
4.61 KIPS |
|
|
Text Classification (F16)
|
100% |
3285
4.72 KIPS |
|
|
Text Classification (I8)
|
98% |
1964
2.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
4453
81.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4331
79.7 IPS |
|
|
Machine Translation (I8)
|
70% |
2439
44.9 IPS |
