Dell Inc. Precision 7760
Geekbench AI Score
1730
Single Precision Score
1730
Half Precision Score
1007
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | January 06 2025 01:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon W-11955M |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Dell Inc. Precision 7760 |
| Motherboard | Dell Inc. 0P4NHH |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-11955M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 4.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1248
232.1 IPS |
|
|
Image Classification (HP)
|
100% |
1247
232.0 IPS |
|
|
Image Classification (Q)
|
99% |
693
129.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1809
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
777
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2165
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2254
2.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
1876
2.20 IPS |
|
|
Object Detection (SP)
|
100% |
1277
101.3 IPS |
|
|
Object Detection (HP)
|
100% |
1283
101.8 IPS |
|
|
Object Detection (Q)
|
85% |
599
48.2 IPS |
|
|
Face Detection (SP)
|
100% |
2305
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
2276
27.0 IPS |
|
|
Face Detection (Q)
|
97% |
1563
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2075
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1967
15.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1321
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2403
3.09 IPS |
|
|
Style Transfer (HP)
|
100% |
2384
3.06 IPS |
|
|
Style Transfer (Q)
|
98% |
3777
4.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1438
53.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1332
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
977
36.2 IPS |
|
|
Text Classification (SP)
|
100% |
1199
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1254
1.67 KIPS |
|
|
Text Classification (Q)
|
92% |
481
646.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1978
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2076
35.8 IPS |
|
|
Machine Translation (Q)
|
58% |
487
11.4 IPS |
