Unknown
Geekbench AI Score
7196
Single Precision Score
10426
Half Precision Score
15221
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 04:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Unknown |
| Motherboard | |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 155HL |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5282
982.3 IPS |
|
|
Image Classification (HP)
|
100% |
7612
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
8289
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3942
63.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9015
146.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12572
203.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
23383
27.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
22273
26.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
71033
83.2 IPS |
|
|
Object Detection (SP)
|
100% |
4785
379.6 IPS |
|
|
Object Detection (HP)
|
100% |
7352
583.2 IPS |
|
|
Object Detection (Q)
|
88% |
9942
796.7 IPS |
|
|
Face Detection (SP)
|
100% |
8590
102.1 IPS |
|
|
Face Detection (HP)
|
100% |
16573
196.9 IPS |
|
|
Face Detection (Q)
|
100% |
26063
309.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18695
144.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
31655
244.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
37542
291.8 IPS |
|
|
Style Transfer (SP)
|
100% |
53901
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
69598
89.5 IPS |
|
|
Style Transfer (Q)
|
98% |
165842
213.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9465
349.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14380
531.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21194
784.9 IPS |
|
|
Text Classification (SP)
|
71% |
1213
1.75 KIPS |
|
|
Text Classification (HP)
|
71% |
1495
2.16 KIPS |
|
|
Text Classification (Q)
|
92% |
1541
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1609
27.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1721
29.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1712
29.5 IPS |
