Supermicro Super Server
Geekbench AI Score
2328
Single Precision Score
2319
Half Precision Score
1760
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | josealopez3 |
| Upload Date | September 13 2025 11:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Xeon(R) 6740E |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X14SBI-TF |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) 6740E |
| Topology | 1 Processor, 96 Cores |
| Identifier | GenuineIntel Family 6 Model 175 Stepping 3 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1730
321.7 IPS |
|
|
Image Classification (HP)
|
100% |
1699
316.0 IPS |
|
|
Image Classification (Q)
|
99% |
1468
273.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3166
51.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3167
51.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1104
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3875
4.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3884
4.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
8070
9.46 IPS |
|
|
Object Detection (SP)
|
100% |
2115
167.8 IPS |
|
|
Object Detection (HP)
|
100% |
2088
165.6 IPS |
|
|
Object Detection (Q)
|
85% |
1763
141.9 IPS |
|
|
Face Detection (SP)
|
100% |
3398
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
3393
40.3 IPS |
|
|
Face Detection (Q)
|
97% |
2705
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2887
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2909
22.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2006
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4127
5.31 IPS |
|
|
Style Transfer (HP)
|
100% |
4127
5.31 IPS |
|
|
Style Transfer (Q)
|
98% |
7725
9.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1773
65.7 IPS |
|
|
Text Classification (SP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
796
1.06 KIPS |
|
|
Text Classification (Q)
|
92% |
438
588.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1991
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1984
34.2 IPS |
|
|
Machine Translation (Q)
|
58% |
381
8.93 IPS |
