Dell Inc. Precision 7760
Geekbench AI Score
1571
Single Precision Score
1598
Half Precision Score
1060
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | timclarke76 |
| Upload Date | January 22 2026 06:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision 7760 |
| Motherboard | Dell Inc. 0P4NHH |
| Power Plan | Balanced |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
670
124.6 IPS |
|
|
Image Classification (HP)
|
100% |
699
130.1 IPS |
|
|
Image Classification (Q)
|
100% |
563
104.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1038
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
713
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4784
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
5124
5.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
3259
3.82 IPS |
|
|
Object Detection (SP)
|
100% |
762
60.5 IPS |
|
|
Object Detection (HP)
|
98% |
622
49.5 IPS |
|
|
Object Detection (Q)
|
86% |
621
49.9 IPS |
|
|
Face Detection (SP)
|
100% |
1500
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1126
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2814
21.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3074
23.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
2088
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9946
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13272
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
7409
9.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1675
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2363
87.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
865
32.0 IPS |
|
|
Text Classification (SP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
450
600.7 IPS |
|
|
Text Classification (Q)
|
97% |
404
541.2 IPS |
|
|
Machine Translation (SP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
70% |
363
6.80 IPS |
