Dell Inc. XPS 8940
Geekbench ML Score
2393
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 19 2026 02:33 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. XPS 8940 |
| Motherboard | Dell Inc. 0KV3RP |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 256 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1404
262.7 IPS |
|
|
Image Classification (F16)
|
100% |
1416
265.0 IPS |
|
|
Image Classification (I8)
|
97% |
2395
448.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1265
21.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1049
17.5 IPS |
|
|
Image Segmentation (I8)
|
97% |
1985
33.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
3770
4.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
3663
4.44 IPS |
|
|
Pose Estimation (I8)
|
100% |
10264
12.4 IPS |
|
|
Object Detection (F32)
|
100% |
1241
92.6 IPS |
|
|
Object Detection (F16)
|
100% |
1173
87.5 IPS |
|
|
Object Detection (I8)
|
60% |
1199
89.5 IPS |
|
|
Face Detection (F32)
|
100% |
1972
23.4 IPS |
|
|
Face Detection (F16)
|
100% |
1910
22.7 IPS |
|
|
Face Detection (I8)
|
87% |
3026
36.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4402
34.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4338
33.6 IPS |
|
|
Depth Estimation (I8)
|
74% |
8414
65.3 IPS |
|
|
Style Transfer (F32)
|
100% |
9462
12.4 IPS |
|
|
Style Transfer (F16)
|
100% |
9455
12.4 IPS |
|
|
Style Transfer (I8)
|
85% |
13168
17.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1851
66.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1859
66.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2513
89.7 IPS |
|
|
Text Classification (F32)
|
100% |
1086
1.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1303
1.87 KIPS |
|
|
Text Classification (I8)
|
94% |
809
1.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
1357
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1415
26.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1839
33.8 IPS |
