Dell Inc. XPS 8930 (AI-Core) Dell Inc. XPS 8930
Geekbench AI Score
1550
Single Precision Score
1541
Half Precision Score
927
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | jwatts721 |
| Upload Date | December 22 2025 12:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-8700 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| 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 | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1232
229.1 IPS |
|
|
Image Classification (HP)
|
100% |
1251
232.6 IPS |
|
|
Image Classification (Q)
|
99% |
571
106.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
691
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1773
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1660
1.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
1702
1.99 IPS |
|
|
Object Detection (SP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (HP)
|
100% |
1280
101.5 IPS |
|
|
Object Detection (Q)
|
85% |
669
53.9 IPS |
|
|
Face Detection (SP)
|
100% |
1842
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
1848
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
1396
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1734
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1747
13.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1306
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2155
2.77 IPS |
|
|
Style Transfer (HP)
|
100% |
2173
2.79 IPS |
|
|
Style Transfer (Q)
|
98% |
3470
4.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1253
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1241
45.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1000
37.1 IPS |
|
|
Text Classification (SP)
|
100% |
1407
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1372
1.83 KIPS |
|
|
Text Classification (Q)
|
92% |
433
581.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1723
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (Q)
|
58% |
381
8.94 IPS |
