Dell Inc. Precision 7760
Geekbench AI Score
14911
Single Precision Score
24417
Half Precision Score
9803
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Luigi97_97 |
| Upload Date | November 09 2024 11:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A4000 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision 7760 |
| Motherboard | Dell Inc. 0P4NHH |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-11955M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6200
1.15 KIPS |
|
|
Image Classification (HP)
|
99% |
9185
1.71 KIPS |
|
|
Image Classification (Q)
|
100% |
4464
830.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
8957
145.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12557
203.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7439
121.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
79140
92.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
246946
288.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
65637
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
7609
603.6 IPS |
|
|
Object Detection (HP)
|
100% |
11886
942.8 IPS |
|
|
Object Detection (Q)
|
88% |
5438
436.1 IPS |
|
|
Face Detection (SP)
|
100% |
15962
189.7 IPS |
|
|
Face Detection (HP)
|
100% |
24351
289.3 IPS |
|
|
Face Detection (Q)
|
97% |
12301
146.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
37225
286.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
71604
551.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
24551
197.8 IPS |
|
|
Style Transfer (SP)
|
100% |
136411
175.4 IPS |
|
|
Style Transfer (HP)
|
100% |
353123
453.9 IPS |
|
|
Style Transfer (Q)
|
98% |
110084
142.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26496
978.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36758
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15588
577.2 IPS |
|
|
Text Classification (SP)
|
100% |
2656
3.54 KIPS |
|
|
Text Classification (HP)
|
99% |
3412
4.55 KIPS |
|
|
Text Classification (Q)
|
97% |
1309
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2849
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2882
49.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1020
22.8 IPS |
