Gigabyte Technology Co., Ltd. Z77MX-D3H
Geekbench AI Score
456
Single Precision Score
459
Half Precision Score
1147
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | paultissue |
| Upload Date | September 23 2025 07:22 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-3770K CPU @ 3.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z77MX-D3H |
| Motherboard | Gigabyte Technology Co., Ltd. Z77MX-D3H |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
422
78.4 IPS |
|
|
Image Classification (HP)
|
100% |
423
78.6 IPS |
|
|
Image Classification (Q)
|
100% |
753
140.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
939
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
746
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
751
0.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
1623
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (HP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
87% |
766
61.5 IPS |
|
|
Face Detection (SP)
|
100% |
1312
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
1315
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
2200
26.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1402
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1402
10.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
1915
15.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11
0.01 IPS |
|
|
Style Transfer (HP)
|
100% |
11
0.01 IPS |
|
|
Style Transfer (Q)
|
98% |
4855
6.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
644
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
640
23.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
963
35.7 IPS |
|
|
Text Classification (SP)
|
100% |
499
665.9 IPS |
|
|
Text Classification (HP)
|
100% |
525
700.5 IPS |
|
|
Text Classification (Q)
|
91% |
309
415.7 IPS |
|
|
Machine Translation (SP)
|
100% |
705
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (Q)
|
100% |
738
12.7 IPS |
