ZOTAC
Geekbench AI Score
1697
Single Precision Score
1727
Half Precision Score
1486
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | September 10 2025 05:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | ZOTAC |
| Motherboard | ZOTAC |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1244
231.4 IPS |
|
|
Image Classification (HP)
|
100% |
1215
225.9 IPS |
|
|
Image Classification (Q)
|
99% |
962
179.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1853
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1108
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2184
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2185
2.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
3537
4.14 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.9 IPS |
|
|
Object Detection (HP)
|
100% |
1348
106.9 IPS |
|
|
Object Detection (Q)
|
85% |
1041
83.8 IPS |
|
|
Face Detection (SP)
|
100% |
1960
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
2267
26.9 IPS |
|
|
Face Detection (Q)
|
97% |
2241
26.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1898
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1885
14.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2024
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2263
2.91 IPS |
|
|
Style Transfer (HP)
|
100% |
2256
2.90 IPS |
|
|
Style Transfer (Q)
|
98% |
5503
7.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1598
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1653
61.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1627
60.3 IPS |
|
|
Text Classification (SP)
|
100% |
1063
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1082
1.44 KIPS |
|
|
Text Classification (Q)
|
92% |
635
852.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2052
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2017
34.7 IPS |
|
|
Machine Translation (Q)
|
58% |
521
12.2 IPS |
