Dell Inc. PowerEdge R760xa
Geekbench AI Score
2515
Single Precision Score
2493
Half Precision Score
1564
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | chakree30584 |
| Upload Date | January 06 2025 03:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | INTEL(R) XEON(R) GOLD 6526Y |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Dell Inc. PowerEdge R760xa |
| Motherboard | Dell Inc. 094FRX |
| CPU Information | |
|---|---|
| Name | INTEL(R) XEON(R) GOLD 6526Y |
| Topology | 2 Processors, 32 Cores, 64 Threads |
| Identifier | GenuineIntel Family 6 Model 207 Stepping 2 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1889
351.4 IPS |
|
|
Image Classification (HP)
|
100% |
1865
346.7 IPS |
|
|
Image Classification (Q)
|
99% |
1485
277.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3280
53.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3290
53.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1039
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3159
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
3247
3.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
4070
4.77 IPS |
|
|
Object Detection (SP)
|
100% |
2197
174.2 IPS |
|
|
Object Detection (HP)
|
100% |
2165
171.7 IPS |
|
|
Object Detection (Q)
|
85% |
1392
112.1 IPS |
|
|
Face Detection (SP)
|
100% |
3533
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
3352
39.8 IPS |
|
|
Face Detection (Q)
|
97% |
2362
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2570
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2587
19.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1905
17.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3117
4.01 IPS |
|
|
Style Transfer (HP)
|
100% |
3167
4.07 IPS |
|
|
Style Transfer (Q)
|
98% |
5687
7.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1945
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1843
68.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1564
57.9 IPS |
|
|
Text Classification (SP)
|
100% |
1547
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1548
2.07 KIPS |
|
|
Text Classification (Q)
|
92% |
487
654.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2768
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2748
47.3 IPS |
|
|
Machine Translation (Q)
|
58% |
516
12.1 IPS |
