Dell Inc. XPS 8930
Geekbench AI Score
3523
Single Precision Score
3640
Half Precision Score
5467
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 17 2025 05:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8700 CPU @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 8930 |
| Motherboard | Dell Inc. 0DF42J |
| Power Plan | Dell |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2299
427.6 IPS |
|
|
Image Classification (HP)
|
100% |
2393
444.9 IPS |
|
|
Image Classification (Q)
|
100% |
3466
644.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3836
62.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3276
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4672
5.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
9292
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
2280
180.9 IPS |
|
|
Object Detection (HP)
|
100% |
2196
174.2 IPS |
|
|
Object Detection (Q)
|
87% |
3607
289.3 IPS |
|
|
Face Detection (SP)
|
100% |
3679
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
3724
44.3 IPS |
|
|
Face Detection (Q)
|
97% |
9459
112.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6252
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6261
48.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
9880
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14127
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14194
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26770
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2920
107.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2924
108.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5468
202.5 IPS |
|
|
Text Classification (SP)
|
100% |
2446
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (Q)
|
91% |
1205
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3211
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3086
53.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3250
56.0 IPS |
