ERYING
Geekbench AI Score
4663
Single Precision Score
6164
Half Precision Score
9378
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | shxly |
| Upload Date | December 20 2024 07:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ERYING |
| Motherboard | ERYING Intel AIder Lake PCH B660 M-ATX G660 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2752
511.7 IPS |
|
|
Image Classification (HP)
|
100% |
3990
742.0 IPS |
|
|
Image Classification (Q)
|
99% |
5433
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4321
70.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6711
108.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7720
125.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11066
12.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
8175
9.54 IPS |
|
|
Pose Estimation (Q)
|
97% |
32864
38.5 IPS |
|
|
Object Detection (SP)
|
100% |
2732
216.7 IPS |
|
|
Object Detection (HP)
|
100% |
3686
292.4 IPS |
|
|
Object Detection (Q)
|
90% |
5774
461.7 IPS |
|
|
Face Detection (SP)
|
100% |
6547
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
11021
131.0 IPS |
|
|
Face Detection (Q)
|
100% |
16065
190.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10428
80.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
15397
119.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
19612
152.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27778
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36476
46.9 IPS |
|
|
Style Transfer (Q)
|
98% |
72766
93.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4487
165.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6939
256.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12824
474.9 IPS |
|
|
Text Classification (SP)
|
71% |
1240
1.79 KIPS |
|
|
Text Classification (HP)
|
71% |
1406
2.03 KIPS |
|
|
Text Classification (Q)
|
92% |
1368
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1627
28.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1645
28.3 IPS |
