Dell Inc. Precision 7760
Geekbench AI Score
2814
Single Precision Score
1295
Half Precision Score
6501
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 24 2025 02:00 PM |
| Views | 4 |
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. 0V045C |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2528
470.2 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.6 IPS |
|
|
Image Classification (Q)
|
99% |
6818
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1493
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
751
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7701
125.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3854
4.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3339
3.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
14476
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1875
148.7 IPS |
|
|
Object Detection (HP)
|
100% |
593
47.0 IPS |
|
|
Object Detection (Q)
|
86% |
5767
463.5 IPS |
|
|
Face Detection (SP)
|
100% |
4297
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
1268
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
7974
95.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5262
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1766
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12399
98.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9531
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8384
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
16823
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1884
69.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5181
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
1516
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1312
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1855
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2722
54.7 IPS |
