Dell Inc. XPS 17 9730
Geekbench AI Score
3274
Single Precision Score
1362
Half Precision Score
4083
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | cristianflorea |
| Upload Date | October 09 2024 12:31 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. XPS 17 9730 |
| Motherboard | Dell Inc. 067X4F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
537
99.9 IPS |
|
|
Image Classification (Q)
|
99% |
3664
683.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1047
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2693
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5983
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3573
4.17 IPS |
|
|
Pose Estimation (Q)
|
95% |
19923
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
2094
166.1 IPS |
|
|
Object Detection (HP)
|
100% |
634
50.2 IPS |
|
|
Object Detection (Q)
|
88% |
1946
156.0 IPS |
|
|
Face Detection (SP)
|
100% |
3758
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
1545
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
4458
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6757
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1883
14.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
8141
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13676
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8696
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
21938
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2668
98.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1764
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3921
145.2 IPS |
|
|
Text Classification (SP)
|
100% |
1624
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
628
838.1 IPS |
|
|
Text Classification (Q)
|
97% |
502
672.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2007
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2152
48.0 IPS |
