SPC741D8UD-2T/X550/H
Geekbench AI Score
2513
Single Precision Score
2500
Half Precision Score
1513
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | yoyostile |
| Upload Date | February 12 2026 07:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon Gold 5412U |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | SPC741D8UD-2T/X550/H |
| Motherboard | ASRockRack SPC741D8UD-2T/X550/H |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 5412U |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 755.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1865
346.9 IPS |
|
|
Image Classification (HP)
|
100% |
1777
330.5 IPS |
|
|
Image Classification (Q)
|
99% |
1109
206.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2936
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2863
46.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1011
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3346
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
3354
3.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
4276
5.01 IPS |
|
|
Object Detection (SP)
|
100% |
2085
165.4 IPS |
|
|
Object Detection (HP)
|
100% |
2049
162.5 IPS |
|
|
Object Detection (Q)
|
85% |
1242
100.0 IPS |
|
|
Face Detection (SP)
|
100% |
3296
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
3398
40.4 IPS |
|
|
Face Detection (Q)
|
97% |
2474
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3112
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3077
23.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1916
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4482
5.76 IPS |
|
|
Style Transfer (HP)
|
100% |
4415
5.68 IPS |
|
|
Style Transfer (Q)
|
98% |
5919
7.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1683
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1695
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1523
56.4 IPS |
|
|
Text Classification (SP)
|
100% |
1362
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1379
1.84 KIPS |
|
|
Text Classification (Q)
|
92% |
539
723.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2530
43.6 IPS |
|
|
Machine Translation (Q)
|
58% |
459
10.8 IPS |
