Dell Inc. Precision 7760
Geekbench AI Score
5259
Single Precision Score
5295
Half Precision Score
13110
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Luigi97_97 |
| Upload Date | November 09 2024 11:52 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) W-11955M CPU @ 2.60GHz |
| 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% |
3505
651.8 IPS |
|
|
Image Classification (HP)
|
100% |
3606
670.7 IPS |
|
|
Image Classification (Q)
|
100% |
8432
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3754
60.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3765
61.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7295
118.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6651
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
6610
7.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
26489
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
3192
253.2 IPS |
|
|
Object Detection (HP)
|
100% |
3194
253.3 IPS |
|
|
Object Detection (Q)
|
88% |
9128
731.8 IPS |
|
|
Face Detection (SP)
|
100% |
6907
82.1 IPS |
|
|
Face Detection (HP)
|
100% |
6961
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
22857
271.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8358
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8353
64.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
24672
191.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17907
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18116
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
69463
89.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4042
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4081
150.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13647
505.4 IPS |
|
|
Text Classification (SP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
3293
4.39 KIPS |
|
|
Text Classification (Q)
|
92% |
4534
6.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4222
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4270
73.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4163
71.7 IPS |
