Dell Inc. Precision 7760
Geekbench AI Score
17354
Single Precision Score
28979
Half Precision Score
11188
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | timclarke76 |
| Upload Date | January 22 2026 06:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A5000 Laptop GPU |
| 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% |
6955
1.29 KIPS |
|
|
Image Classification (HP)
|
99% |
10928
2.04 KIPS |
|
|
Image Classification (Q)
|
100% |
5017
933.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
11559
187.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16913
274.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8975
145.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
86837
101.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
269588
314.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
72365
84.8 IPS |
|
|
Object Detection (SP)
|
100% |
8906
706.5 IPS |
|
|
Object Detection (HP)
|
100% |
14972
1.19 KIPS |
|
|
Object Detection (Q)
|
85% |
6554
527.6 IPS |
|
|
Face Detection (SP)
|
100% |
21138
251.2 IPS |
|
|
Face Detection (HP)
|
100% |
32724
388.8 IPS |
|
|
Face Detection (Q)
|
97% |
14826
176.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
43132
332.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
81849
630.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
29568
236.8 IPS |
|
|
Style Transfer (SP)
|
100% |
149139
191.7 IPS |
|
|
Style Transfer (HP)
|
100% |
387240
497.8 IPS |
|
|
Style Transfer (Q)
|
98% |
118798
153.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29340
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41738
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17373
643.3 IPS |
|
|
Text Classification (SP)
|
100% |
2867
3.83 KIPS |
|
|
Text Classification (HP)
|
99% |
3675
4.91 KIPS |
|
|
Text Classification (Q)
|
97% |
1277
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3484
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3520
60.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1246
23.4 IPS |
