To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
4170
Single Precision Score
4149
Half Precision Score
11757
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | danm1988 |
| Upload Date | April 10 2025 11:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i9-11900K @ 3.50GHz |
| System Information | |
|---|---|
| Operating System | openSUSE Leap 15.6 |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRock H510 Pro BTC+ |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 5.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2742
509.9 IPS |
|
|
Image Classification (HP)
|
100% |
2741
509.8 IPS |
|
|
Image Classification (Q)
|
100% |
8283
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2958
48.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2949
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6759
109.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5484
6.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
5481
6.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
21905
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
2330
184.8 IPS |
|
|
Object Detection (HP)
|
100% |
2335
185.2 IPS |
|
|
Object Detection (Q)
|
88% |
8726
699.5 IPS |
|
|
Face Detection (SP)
|
100% |
3940
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
3913
46.5 IPS |
|
|
Face Detection (Q)
|
100% |
19134
227.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6742
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6748
52.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
20207
157.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14399
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13988
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
58409
75.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3274
120.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3266
120.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11583
429.0 IPS |
|
|
Text Classification (SP)
|
100% |
2865
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2858
3.82 KIPS |
|
|
Text Classification (Q)
|
92% |
4205
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4276
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4240
73.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4289
73.9 IPS |
