Intel Core i9-11900 HP HP Z1 G8 Tower Desktop PC
Geekbench AI Score
4613
Single Precision Score
4618
Half Precision Score
11686
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | icemc |
| Upload Date | December 20 2024 10:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i9-11900 @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Education (64-bit) |
| Model | HP HP Z1 G8 Tower Desktop PC |
| Motherboard | HP 889C |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3015
560.7 IPS |
|
|
Image Classification (HP)
|
100% |
2995
557.0 IPS |
|
|
Image Classification (Q)
|
100% |
7557
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3067
49.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3115
50.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6934
112.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6007
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
6015
7.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
23815
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2713
215.2 IPS |
|
|
Object Detection (HP)
|
100% |
2731
216.6 IPS |
|
|
Object Detection (Q)
|
88% |
8189
656.5 IPS |
|
|
Face Detection (SP)
|
100% |
6125
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
5876
69.8 IPS |
|
|
Face Detection (Q)
|
100% |
19808
235.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7757
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7839
60.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
21385
166.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15053
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15543
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
60694
78.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3553
131.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3561
131.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11791
436.6 IPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (Q)
|
92% |
3967
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3891
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3870
66.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3867
66.6 IPS |
