KLLISRE
Geekbench AI Score
4754
Single Precision Score
4727
Half Precision Score
4267
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 15 2025 01:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | KLLISRE |
| Motherboard | KLLISRE X99-F4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3255
605.3 IPS |
|
|
Image Classification (HP)
|
100% |
3248
604.0 IPS |
|
|
Image Classification (Q)
|
100% |
2968
552.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4166
67.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4188
67.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4251
69.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6755
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
6806
7.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
8441
9.90 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.0 IPS |
|
|
Object Detection (HP)
|
100% |
2721
215.8 IPS |
|
|
Object Detection (Q)
|
87% |
3167
254.0 IPS |
|
|
Face Detection (SP)
|
100% |
6307
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
6075
72.2 IPS |
|
|
Face Detection (Q)
|
97% |
9728
116.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7674
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7390
56.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
8997
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21610
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21222
27.3 IPS |
|
|
Style Transfer (Q)
|
98% |
24260
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4282
158.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4245
156.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4660
172.6 IPS |
|
|
Text Classification (SP)
|
100% |
1956
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2020
2.70 KIPS |
|
|
Text Classification (Q)
|
91% |
273
367.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2754
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2711
46.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2197
37.8 IPS |
