Dell Inc. XPS 8930
Geekbench AI Score
2413
Single Precision Score
1084
Half Precision Score
3560
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | riko714 |
| Upload Date | October 03 2025 02:05 PM |
| Views | 11 |
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. 0DF42J |
| Power Plan | Razer Cortex Power Plan |
| 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% |
1871
347.9 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.6 IPS |
|
|
Image Classification (Q)
|
96% |
2802
523.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
992
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
562
9.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
3608
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3655
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2881
3.36 IPS |
|
|
Pose Estimation (Q)
|
86% |
6848
8.10 IPS |
|
|
Object Detection (SP)
|
100% |
1544
122.5 IPS |
|
|
Object Detection (HP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (Q)
|
58% |
1953
213.4 IPS |
|
|
Face Detection (SP)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
1024
12.2 IPS |
|
|
Face Detection (Q)
|
96% |
5280
63.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4754
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1358
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6543
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9205
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8251
10.6 IPS |
|
|
Style Transfer (Q)
|
87% |
11436
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1916
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3054
113.2 IPS |
|
|
Text Classification (SP)
|
100% |
1397
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
719
960.3 IPS |
|
|
Text Classification (Q)
|
97% |
1119
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1720
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (Q)
|
68% |
1793
34.6 IPS |
