Gigabyte Technology Co., Ltd. EP45T-UD3R
Geekbench AI Score
362
Single Precision Score
362
Half Precision Score
1015
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 03 2025 02:56 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM)2 Extreme CPU X9650 @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. EP45T-UD3R |
| Motherboard | Gigabyte Technology Co., Ltd. EP45T-UD3R |
| CPU Information | |
|---|---|
| Name | Intel Core 2 Extreme X9650 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 7 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
209
38.8 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (Q)
|
100% |
692
128.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
267
4.32 IPS |
|
|
Image Segmentation (Q)
|
99% |
737
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
369
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
369
0.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
1537
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (Q)
|
87% |
691
55.4 IPS |
|
|
Face Detection (SP)
|
100% |
626
7.44 IPS |
|
|
Face Detection (HP)
|
100% |
629
7.47 IPS |
|
|
Face Detection (Q)
|
97% |
1920
22.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
523
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
523
4.03 IPS |
|
|
Depth Estimation (Q)
|
81% |
1708
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1095
1.41 IPS |
|
|
Style Transfer (HP)
|
100% |
1097
1.41 IPS |
|
|
Style Transfer (Q)
|
98% |
4931
6.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
233
8.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
233
8.62 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
938
34.7 IPS |
|
|
Text Classification (SP)
|
100% |
366
488.6 IPS |
|
|
Text Classification (HP)
|
100% |
364
485.7 IPS |
|
|
Text Classification (Q)
|
91% |
459
616.9 IPS |
|
|
Machine Translation (SP)
|
100% |
310
5.35 IPS |
|
|
Machine Translation (HP)
|
100% |
306
5.28 IPS |
|
|
Machine Translation (Q)
|
100% |
309
5.32 IPS |
