Dell Inc. XPS 17 9700
Geekbench AI Score
4976
Single Precision Score
6947
Half Precision Score
3285
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | hrichl |
| Upload Date | April 25 2025 09:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 |
| 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% |
2038
378.9 IPS |
|
|
Image Classification (HP)
|
100% |
2902
539.6 IPS |
|
|
Image Classification (Q)
|
99% |
1779
331.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3970
64.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4009
65.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3458
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1847
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
35952
42.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
330
0.39 IPS |
|
|
Object Detection (SP)
|
100% |
2592
205.6 IPS |
|
|
Object Detection (HP)
|
100% |
3575
283.5 IPS |
|
|
Object Detection (Q)
|
84% |
2223
179.3 IPS |
|
|
Face Detection (SP)
|
100% |
5318
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
7709
91.6 IPS |
|
|
Face Detection (Q)
|
97% |
4666
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18976
146.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16879
130.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
14525
116.1 IPS |
|
|
Style Transfer (SP)
|
100% |
96807
124.4 IPS |
|
|
Style Transfer (HP)
|
100% |
56701
72.9 IPS |
|
|
Style Transfer (Q)
|
98% |
75272
97.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15047
555.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12289
453.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9283
343.7 IPS |
|
|
Text Classification (SP)
|
100% |
1088
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1286
1.72 KIPS |
|
|
Text Classification (Q)
|
97% |
757
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1504
25.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1503
26.0 IPS |
|
|
Machine Translation (Q)
|
70% |
907
17.0 IPS |
