Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench AI Score
112
Single Precision Score
111
Half Precision Score
520
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 26 2024 06:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-3240 CPU @ 3.40GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. Z77N-WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i3-3240 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
194
36.0 IPS |
|
|
Image Classification (HP)
|
100% |
191
35.5 IPS |
|
|
Image Classification (Q)
|
100% |
346
64.4 IPS |
|
|
Image Segmentation (SP)
|
29% |
22
4.52 IPS |
|
|
Image Segmentation (HP)
|
29% |
21
4.45 IPS |
|
|
Image Segmentation (Q)
|
99% |
402
6.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
297
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
304
0.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
676
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
176
13.9 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
87% |
344
27.6 IPS |
|
|
Face Detection (SP)
|
100% |
564
6.70 IPS |
|
|
Face Detection (HP)
|
100% |
549
6.52 IPS |
|
|
Face Detection (Q)
|
97% |
949
11.3 IPS |
|
|
Depth Estimation (SP)
|
1% |
0
4.56 IPS |
|
|
Depth Estimation (HP)
|
1% |
0
4.56 IPS |
|
|
Depth Estimation (Q)
|
81% |
851
6.72 IPS |
|
|
Style Transfer (SP)
|
31% |
94
1.28 IPS |
|
|
Style Transfer (HP)
|
31% |
89
1.21 IPS |
|
|
Style Transfer (Q)
|
98% |
2134
2.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
441
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
355
474.2 IPS |
|
|
Text Classification (HP)
|
100% |
355
473.3 IPS |
|
|
Text Classification (Q)
|
91% |
218
293.0 IPS |
|
|
Machine Translation (SP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (Q)
|
100% |
273
4.71 IPS |
