Dell Inc. XPS 17 9700
Geekbench AI Score
15487
Single Precision Score
19499
Half Precision Score
13248
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | hrichl |
| Upload Date | April 25 2025 08:07 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| 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% |
5617
1.04 KIPS |
|
|
Image Classification (HP)
|
99% |
6472
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
5194
966.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7294
118.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7909
128.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6970
113.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
140023
163.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
272936
318.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
129131
151.3 IPS |
|
|
Object Detection (SP)
|
100% |
6675
529.5 IPS |
|
|
Object Detection (HP)
|
100% |
7859
623.4 IPS |
|
|
Object Detection (Q)
|
85% |
6114
492.2 IPS |
|
|
Face Detection (SP)
|
100% |
16226
192.8 IPS |
|
|
Face Detection (HP)
|
100% |
19349
229.9 IPS |
|
|
Face Detection (Q)
|
97% |
16028
191.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
52177
402.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
73209
565.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
42779
342.0 IPS |
|
|
Style Transfer (SP)
|
100% |
227706
292.7 IPS |
|
|
Style Transfer (HP)
|
100% |
384041
493.7 IPS |
|
|
Style Transfer (Q)
|
98% |
206490
266.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28509
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
33060
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22024
815.5 IPS |
|
|
Text Classification (SP)
|
100% |
1956
2.61 KIPS |
|
|
Text Classification (HP)
|
99% |
2089
2.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1377
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1929
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1927
33.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1357
25.5 IPS |
