Gigabyte Z77MX-D3H - i7-3770K Gigabyte Technology Co., Ltd. Z77MX-D3H
Geekbench AI Score
2928
Single Precision Score
2923
Half Precision Score
2170
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | paultissue |
| Upload Date | September 23 2025 04:32 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 950 |
| 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% |
1149
213.7 IPS |
|
|
Image Classification (HP)
|
100% |
1150
213.9 IPS |
|
|
Image Classification (Q)
|
100% |
984
182.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1320
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9880
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9276
10.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
8761
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1462
115.9 IPS |
|
|
Object Detection (HP)
|
100% |
1461
115.9 IPS |
|
|
Object Detection (Q)
|
83% |
1215
98.2 IPS |
|
|
Face Detection (SP)
|
100% |
2607
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
2686
31.9 IPS |
|
|
Face Detection (Q)
|
97% |
2120
25.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5500
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5381
41.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
4378
35.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16833
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16806
21.6 IPS |
|
|
Style Transfer (Q)
|
98% |
14542
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4336
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4138
152.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3012
111.5 IPS |
|
|
Text Classification (SP)
|
100% |
1005
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1100
1.47 KIPS |
|
|
Text Classification (Q)
|
97% |
550
737.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1640
28.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1621
28.0 IPS |
|
|
Machine Translation (Q)
|
70% |
750
14.1 IPS |
