Dell Inc. Precision 7760
Geekbench AI Score
4151
Single Precision Score
1662
Half Precision Score
6144
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | timclarke76 |
| Upload Date | January 22 2026 06:32 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon W-11955M |
| 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% |
3573
664.4 IPS |
|
|
Image Classification (HP)
|
100% |
557
103.5 IPS |
|
|
Image Classification (Q)
|
99% |
6811
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
899
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4992
81.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6817
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5409
6.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
21934
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
3301
261.8 IPS |
|
|
Object Detection (HP)
|
100% |
740
58.7 IPS |
|
|
Object Detection (Q)
|
86% |
5211
418.8 IPS |
|
|
Face Detection (SP)
|
100% |
5980
71.1 IPS |
|
|
Face Detection (HP)
|
100% |
1564
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
8844
105.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8864
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2236
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
14542
116.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15298
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12793
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21085
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2992
110.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2495
92.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5975
221.2 IPS |
|
|
Text Classification (SP)
|
100% |
1823
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
457
612.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2223
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2665
53.6 IPS |
