Gigabyte Technology Co., Ltd. H170M-DS3H
Geekbench AI Score
2422
Single Precision Score
2417
Half Precision Score
3453
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | December 25 2025 07:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H170M-DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. H170M-DS3H-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1463
272.1 IPS |
|
|
Image Classification (HP)
|
100% |
1465
272.5 IPS |
|
|
Image Classification (Q)
|
100% |
2297
427.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2529
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2988
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2998
3.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
5490
6.44 IPS |
|
|
Object Detection (SP)
|
100% |
1447
114.8 IPS |
|
|
Object Detection (HP)
|
100% |
1445
114.6 IPS |
|
|
Object Detection (Q)
|
87% |
2339
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
2921
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
2941
34.9 IPS |
|
|
Face Detection (Q)
|
97% |
6027
71.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3866
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3886
29.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
6150
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8621
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8653
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15600
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1778
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1783
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3247
120.3 IPS |
|
|
Text Classification (SP)
|
100% |
1701
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1628
2.17 KIPS |
|
|
Text Classification (Q)
|
91% |
717
964.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2511
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2544
43.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2401
41.4 IPS |
