Dell Inc. XPS 17 9730
Geekbench AI Score
18716
Single Precision Score
30449
Half Precision Score
14310
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | cristianflorea |
| Upload Date | October 09 2024 12:37 PM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
| 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% |
7497
1.39 KIPS |
|
|
Image Classification (HP)
|
99% |
12391
2.31 KIPS |
|
|
Image Classification (Q)
|
100% |
6767
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12719
206.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16838
273.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11916
193.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
94783
110.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
257322
300.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
86544
101.3 IPS |
|
|
Object Detection (SP)
|
100% |
8915
707.1 IPS |
|
|
Object Detection (HP)
|
100% |
15764
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
7095
567.9 IPS |
|
|
Face Detection (SP)
|
100% |
23796
282.7 IPS |
|
|
Face Detection (HP)
|
100% |
33951
403.4 IPS |
|
|
Face Detection (Q)
|
97% |
19998
238.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
43187
332.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
84362
651.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
33867
272.8 IPS |
|
|
Style Transfer (SP)
|
100% |
189192
243.2 IPS |
|
|
Style Transfer (HP)
|
100% |
452783
582.1 IPS |
|
|
Style Transfer (Q)
|
98% |
167192
215.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31357
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44457
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24816
918.9 IPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
3855
5.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1601
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3643
62.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1617
36.1 IPS |
