To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
4151
Single Precision Score
4159
Half Precision Score
11665
Quantized Score
Geekbench AI 1.4.0 for Linux x86 (64-bit)
Result Information
| User | danm1988 |
| Upload Date | July 08 2025 04:40 AM |
| Views | 10 |
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 | 31.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2723
506.3 IPS |
|
|
Image Classification (HP)
|
100% |
2728
507.4 IPS |
|
|
Image Classification (Q)
|
100% |
8278
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2967
48.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2939
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6051
98.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5474
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
5465
6.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
21913
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
2330
184.8 IPS |
|
|
Object Detection (HP)
|
100% |
2298
182.3 IPS |
|
|
Object Detection (Q)
|
88% |
8729
699.7 IPS |
|
|
Face Detection (SP)
|
100% |
3933
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
3958
47.0 IPS |
|
|
Face Detection (Q)
|
100% |
19505
231.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6735
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6739
51.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
20260
157.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14057
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14317
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
58570
75.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3262
120.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3275
120.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11589
429.2 IPS |
|
|
Text Classification (SP)
|
100% |
2892
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2892
3.86 KIPS |
|
|
Text Classification (Q)
|
92% |
4289
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4200
72.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4256
73.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4234
72.9 IPS |
