Supermicro X10SAE
Geekbench AI Score
937
Single Precision Score
938
Half Precision Score
644
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | b16lag |
| Upload Date | August 25 2025 07:56 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-4790 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Supermicro X10SAE |
| Motherboard | Supermicro X10SAE |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
720
134.0 IPS |
|
|
Image Classification (HP)
|
100% |
723
134.4 IPS |
|
|
Image Classification (Q)
|
99% |
431
80.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
801
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
806
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
475
7.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
1104
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1088
1.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
1083
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
729
57.8 IPS |
|
|
Object Detection (HP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (Q)
|
85% |
474
38.1 IPS |
|
|
Face Detection (SP)
|
100% |
1088
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
1091
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
1013
12.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1080
8.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
1080
8.32 IPS |
|
|
Depth Estimation (Q)
|
63% |
871
8.17 IPS |
|
|
Style Transfer (SP)
|
100% |
1405
1.81 IPS |
|
|
Style Transfer (HP)
|
100% |
1411
1.81 IPS |
|
|
Style Transfer (Q)
|
98% |
2188
2.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
622
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
616
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
596
22.1 IPS |
|
|
Text Classification (SP)
|
100% |
991
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1007
1.34 KIPS |
|
|
Text Classification (Q)
|
92% |
332
445.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1110
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (Q)
|
58% |
310
7.27 IPS |
