Dell Inc. XPS 17 9730
Geekbench AI Score
2194
Single Precision Score
2178
Half Precision Score
1260
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | mbu30 |
| Upload Date | November 14 2025 11:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-13900H |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Dell Inc. XPS 17 9730 |
| Motherboard | Dell Inc. 0MW4M4 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 5.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1609
299.3 IPS |
|
|
Image Classification (HP)
|
100% |
1618
301.0 IPS |
|
|
Image Classification (Q)
|
99% |
976
182.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
902
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2918
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2957
3.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
2773
3.25 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.3 IPS |
|
|
Object Detection (HP)
|
100% |
1606
127.4 IPS |
|
|
Object Detection (Q)
|
85% |
985
79.3 IPS |
|
|
Face Detection (SP)
|
100% |
2943
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
2932
34.8 IPS |
|
|
Face Detection (Q)
|
97% |
2116
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2668
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2659
20.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1728
16.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3652
4.70 IPS |
|
|
Style Transfer (HP)
|
100% |
3782
4.86 IPS |
|
|
Style Transfer (Q)
|
98% |
5278
6.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1878
69.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1904
70.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1135
42.1 IPS |
|
|
Text Classification (SP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1114
1.49 KIPS |
|
|
Text Classification (Q)
|
92% |
384
515.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2399
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2385
41.1 IPS |
|
|
Machine Translation (Q)
|
58% |
502
11.8 IPS |
