System manufacturer System Product Name
Geekbench AI Score
1009
Single Precision Score
1169
Half Precision Score
827
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Zztony |
| Upload Date | December 23 2024 07:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z270-A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
423
78.7 IPS |
|
|
Image Classification (HP)
|
100% |
489
90.9 IPS |
|
|
Image Classification (Q)
|
100% |
435
80.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
617
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
724
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
529
8.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
2412
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3834
4.47 IPS |
|
|
Pose Estimation (Q)
|
97% |
2219
2.60 IPS |
|
|
Object Detection (SP)
|
100% |
516
40.9 IPS |
|
|
Object Detection (HP)
|
98% |
521
41.4 IPS |
|
|
Object Detection (Q)
|
86% |
472
38.0 IPS |
|
|
Face Detection (SP)
|
100% |
1007
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1162
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
895
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1810
13.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2247
17.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1570
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6174
7.94 IPS |
|
|
Style Transfer (HP)
|
100% |
9192
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
5354
6.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1227
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1736
64.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
958
35.5 IPS |
|
|
Text Classification (SP)
|
100% |
493
658.0 IPS |
|
|
Text Classification (HP)
|
100% |
321
429.0 IPS |
|
|
Text Classification (Q)
|
97% |
294
394.4 IPS |
|
|
Machine Translation (SP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (Q)
|
70% |
294
5.52 IPS |
