Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench AI Score
6739
Single Precision Score
3281
Half Precision Score
4991
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | GladOS |
| Upload Date | January 27 2025 09:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. Z77-D3H |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2859
531.7 IPS |
|
|
Image Classification (HP)
|
100% |
1931
359.1 IPS |
|
|
Image Classification (Q)
|
100% |
2426
451.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4408
71.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2766
44.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3556
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27246
31.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4930
5.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
23467
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
3477
275.8 IPS |
|
|
Object Detection (HP)
|
100% |
1767
140.2 IPS |
|
|
Object Detection (Q)
|
83% |
2858
230.9 IPS |
|
|
Face Detection (SP)
|
100% |
7006
83.3 IPS |
|
|
Face Detection (HP)
|
100% |
5921
70.4 IPS |
|
|
Face Detection (Q)
|
97% |
6282
74.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15753
121.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6645
51.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
11931
95.6 IPS |
|
|
Style Transfer (SP)
|
100% |
49236
63.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13176
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
40769
52.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9985
368.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2797
103.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6514
241.2 IPS |
|
|
Text Classification (SP)
|
100% |
1481
1.98 KIPS |
|
|
Text Classification (HP)
|
99% |
1215
1.62 KIPS |
|
|
Text Classification (Q)
|
97% |
835
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2016
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1768
30.5 IPS |
|
|
Machine Translation (Q)
|
70% |
998
18.7 IPS |
