Dell Inc. Precision 5690
Geekbench AI Score
11149
Single Precision Score
18627
Half Precision Score
8518
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 09:28 PM |
| 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. 0CD7WC |
| 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% |
3993
742.6 IPS |
|
|
Image Classification (HP)
|
99% |
8449
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
3600
669.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7324
118.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9383
152.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5213
84.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
46733
54.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
142810
166.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
42314
49.6 IPS |
|
|
Object Detection (SP)
|
100% |
5411
429.2 IPS |
|
|
Object Detection (HP)
|
100% |
9029
716.2 IPS |
|
|
Object Detection (Q)
|
89% |
4941
395.5 IPS |
|
|
Face Detection (SP)
|
100% |
11540
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
19301
229.3 IPS |
|
|
Face Detection (Q)
|
97% |
9954
118.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22135
170.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
53280
410.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
18219
146.9 IPS |
|
|
Style Transfer (SP)
|
100% |
90572
116.4 IPS |
|
|
Style Transfer (HP)
|
100% |
219868
282.6 IPS |
|
|
Style Transfer (Q)
|
98% |
81992
105.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21686
800.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30038
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15161
561.4 IPS |
|
|
Text Classification (SP)
|
100% |
2489
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2128
2.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1577
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3216
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1442
32.2 IPS |
