Dell Inc. XPS 8930
Geekbench ML Score
4798
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 04:24 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. XPS 8930 |
| Motherboard | Dell Inc. 0DF42J |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 6GB |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2081
389.3 IPS |
|
|
Image Classification (F16)
|
100% |
2142
400.9 IPS |
|
|
Image Classification (I8)
|
100% |
1762
329.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
3058
51.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
3079
51.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2658
44.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23853
28.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
24118
29.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
20726
25.1 IPS |
|
|
Object Detection (F32)
|
100% |
2078
155.1 IPS |
|
|
Object Detection (F16)
|
100% |
2062
153.9 IPS |
|
|
Object Detection (I8)
|
58% |
1698
126.8 IPS |
|
|
Face Detection (F32)
|
100% |
4759
56.6 IPS |
|
|
Face Detection (F16)
|
100% |
4715
56.1 IPS |
|
|
Face Detection (I8)
|
89% |
3968
47.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
11459
88.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11379
88.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
9234
71.6 IPS |
|
|
Style Transfer (F32)
|
100% |
52353
68.9 IPS |
|
|
Style Transfer (F16)
|
100% |
51735
68.1 IPS |
|
|
Style Transfer (I8)
|
98% |
42103
55.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9342
333.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7542
269.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5173
184.7 IPS |
|
|
Text Classification (F32)
|
100% |
938
1.35 KIPS |
|
|
Text Classification (F16)
|
100% |
1063
1.53 KIPS |
|
|
Text Classification (I8)
|
98% |
677
972.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2102
38.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2147
39.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1168
21.5 IPS |
