Dell Inc. XPS 8930
Geekbench AI Score
1909
Single Precision Score
931
Half Precision Score
2167
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 11:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 8930 |
| Motherboard | Dell Inc. 0H0P0M |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1162
216.2 IPS |
|
|
Image Classification (HP)
|
100% |
330
61.4 IPS |
|
|
Image Classification (Q)
|
96% |
1846
344.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
897
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
540
8.75 IPS |
|
|
Image Segmentation (Q)
|
97% |
1370
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3437
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2789
3.25 IPS |
|
|
Pose Estimation (Q)
|
87% |
6931
8.19 IPS |
|
|
Object Detection (SP)
|
100% |
1260
99.9 IPS |
|
|
Object Detection (HP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (Q)
|
86% |
1272
102.3 IPS |
|
|
Face Detection (SP)
|
100% |
1576
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
887
10.5 IPS |
|
|
Face Detection (Q)
|
96% |
2675
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3784
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1294
9.97 IPS |
|
|
Depth Estimation (Q)
|
77% |
3761
30.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8938
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7301
9.39 IPS |
|
|
Style Transfer (Q)
|
87% |
10753
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1498
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1238
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2063
76.4 IPS |
|
|
Text Classification (SP)
|
100% |
1264
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
498
664.8 IPS |
|
|
Text Classification (Q)
|
97% |
352
471.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.81 IPS |
|
|
Machine Translation (Q)
|
60% |
1304
29.1 IPS |
