System manufacturer System Product Name
Geekbench AI Score
1751
Single Precision Score
2506
Half Precision Score
2389
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TheDogDR |
| Upload Date | October 19 2024 09:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 530 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Z170 PRO GAMING |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1101
204.8 IPS |
|
|
Image Classification (HP)
|
100% |
1731
321.8 IPS |
|
|
Image Classification (Q)
|
100% |
1544
287.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2236
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2138
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2812
3.28 IPS |
|
|
Pose Estimation (HP)
|
99% |
2581
3.02 IPS |
|
|
Pose Estimation (Q)
|
97% |
3862
4.52 IPS |
|
|
Object Detection (SP)
|
100% |
1088
86.3 IPS |
|
|
Object Detection (HP)
|
99% |
1706
135.7 IPS |
|
|
Object Detection (Q)
|
88% |
1590
127.5 IPS |
|
|
Face Detection (SP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
5284
62.8 IPS |
|
|
Face Detection (Q)
|
97% |
4518
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3206
24.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5457
42.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
5127
39.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7666
9.85 IPS |
|
|
Style Transfer (HP)
|
100% |
10543
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
9385
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1422
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2334
86.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2230
82.6 IPS |
|
|
Text Classification (SP)
|
71% |
682
986.2 IPS |
|
|
Text Classification (HP)
|
71% |
805
1.16 KIPS |
|
|
Text Classification (Q)
|
92% |
598
803.4 IPS |
|
|
Machine Translation (SP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (HP)
|
97% |
1005
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1031
17.8 IPS |
