Intel(R) UHD Graphics 750 (iGPU) HP HP Z1 G8 Tower Desktop PC
Geekbench AI Score
2145
Single Precision Score
3122
Half Precision Score
4776
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | icemc |
| Upload Date | December 20 2024 10:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 750 (iGPU) |
| 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% |
1276
237.2 IPS |
|
|
Image Classification (HP)
|
100% |
2043
380.0 IPS |
|
|
Image Classification (Q)
|
99% |
3145
586.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3145
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3551
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3536
4.13 IPS |
|
|
Pose Estimation (HP)
|
99% |
2591
3.02 IPS |
|
|
Pose Estimation (Q)
|
97% |
10519
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1200
95.2 IPS |
|
|
Object Detection (HP)
|
98% |
1900
151.1 IPS |
|
|
Object Detection (Q)
|
90% |
3233
258.5 IPS |
|
|
Face Detection (SP)
|
100% |
4061
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
6434
76.5 IPS |
|
|
Face Detection (Q)
|
100% |
8841
105.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4170
32.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7056
54.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
9420
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9299
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16039
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24381
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1656
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2693
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5490
203.3 IPS |
|
|
Text Classification (SP)
|
71% |
882
1.28 KIPS |
|
|
Text Classification (HP)
|
71% |
1092
1.58 KIPS |
|
|
Text Classification (Q)
|
92% |
1125
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1299
22.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1297
22.3 IPS |
