Dell Inc. XPS 17 9700
Geekbench AI Score
8945
Single Precision Score
15837
Half Precision Score
6589
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | hrichl |
| Upload Date | April 25 2025 09:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 with Max-Q Design |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 17 9700 |
| Motherboard | Dell Inc. 0P1CHN |
| Power Plan | Dell |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10875H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3435
638.9 IPS |
|
|
Image Classification (HP)
|
100% |
6687
1.24 KIPS |
|
|
Image Classification (Q)
|
99% |
3268
609.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6241
101.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8528
138.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5225
85.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
39224
45.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
113950
133.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34124
40.0 IPS |
|
|
Object Detection (SP)
|
100% |
4552
361.1 IPS |
|
|
Object Detection (HP)
|
100% |
8236
653.3 IPS |
|
|
Object Detection (Q)
|
84% |
3785
305.3 IPS |
|
|
Face Detection (SP)
|
100% |
10959
130.2 IPS |
|
|
Face Detection (HP)
|
100% |
17479
207.7 IPS |
|
|
Face Detection (Q)
|
97% |
8997
107.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22235
171.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
46634
359.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
16460
131.5 IPS |
|
|
Style Transfer (SP)
|
100% |
73597
94.6 IPS |
|
|
Style Transfer (HP)
|
100% |
180836
232.5 IPS |
|
|
Style Transfer (Q)
|
98% |
60160
77.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13048
481.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23053
851.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8468
313.5 IPS |
|
|
Text Classification (SP)
|
100% |
1597
2.13 KIPS |
|
|
Text Classification (HP)
|
99% |
2446
3.26 KIPS |
|
|
Text Classification (Q)
|
97% |
901
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2295
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2232
38.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1030
19.3 IPS |
