Dell Inc. Precision 5690
Geekbench AI Score
9148
Single Precision Score
15184
Half Precision Score
7568
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 05:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 1000 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Precision 5690 |
| Motherboard | Dell Inc. 088TDK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3719
691.7 IPS |
|
|
Image Classification (HP)
|
99% |
6808
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
3433
638.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5487
88.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7368
119.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5259
85.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
48483
56.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
155206
181.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
44405
52.0 IPS |
|
|
Object Detection (SP)
|
100% |
4909
389.4 IPS |
|
|
Object Detection (HP)
|
100% |
6854
543.7 IPS |
|
|
Object Detection (Q)
|
89% |
3754
300.5 IPS |
|
|
Face Detection (SP)
|
100% |
9534
113.3 IPS |
|
|
Face Detection (HP)
|
100% |
17282
205.3 IPS |
|
|
Face Detection (Q)
|
97% |
8068
96.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21008
161.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47867
368.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
20036
161.6 IPS |
|
|
Style Transfer (SP)
|
100% |
88924
114.3 IPS |
|
|
Style Transfer (HP)
|
100% |
192820
247.9 IPS |
|
|
Style Transfer (Q)
|
98% |
72776
93.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17215
635.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22106
816.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12548
464.6 IPS |
|
|
Text Classification (SP)
|
100% |
1460
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1671
2.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1282
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1889
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2073
35.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1083
24.1 IPS |
