Dell Inc. XPS 8960
Geekbench ML Score
24752
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 03 2024 12:42 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% |
11148
2.09 KIPS |
|
|
Image Classification (F16)
|
100% |
11485
2.15 KIPS |
|
|
Image Classification (I8)
|
100% |
9863
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16470
275.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
16331
272.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
14880
248.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
229151
277.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
230765
279.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
203522
246.5 IPS |
|
|
Object Detection (F32)
|
100% |
7821
583.9 IPS |
|
|
Object Detection (F16)
|
100% |
7801
582.4 IPS |
|
|
Object Detection (I8)
|
56% |
7357
549.3 IPS |
|
|
Face Detection (F32)
|
100% |
36599
435.2 IPS |
|
|
Face Detection (F16)
|
100% |
34911
415.1 IPS |
|
|
Face Detection (I8)
|
89% |
30078
357.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
69662
540.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
68110
528.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
55006
426.6 IPS |
|
|
Style Transfer (F32)
|
100% |
341369
449.0 IPS |
|
|
Style Transfer (F16)
|
100% |
328558
432.2 IPS |
|
|
Style Transfer (I8)
|
98% |
299750
394.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
47998
1.71 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
48515
1.73 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
33590
1.20 KIPS |
|
|
Text Classification (F32)
|
100% |
3196
4.59 KIPS |
|
|
Text Classification (F16)
|
100% |
3266
4.69 KIPS |
|
|
Text Classification (I8)
|
98% |
1956
2.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
4393
80.8 IPS |
|
|
Machine Translation (F16)
|
100% |
4394
80.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2536
46.7 IPS |
