Xigmatek Gemini
Geekbench AI Score
2331
Single Precision Score
2329
Half Precision Score
3715
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | September 30 2024 11:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-10100 CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Xigmatek Gemini |
| Motherboard | ASRock B460M Pro4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.2 IPS |
|
|
Image Classification (HP)
|
100% |
1455
270.6 IPS |
|
|
Image Classification (Q)
|
100% |
2257
419.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2375
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3019
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2999
3.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
5881
6.90 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (Q)
|
87% |
2407
193.0 IPS |
|
|
Face Detection (SP)
|
100% |
2908
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
2907
34.5 IPS |
|
|
Face Detection (Q)
|
97% |
6142
73.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3790
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3872
29.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
6580
51.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8738
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8642
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16574
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1754
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1759
65.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3438
127.3 IPS |
|
|
Text Classification (SP)
|
100% |
1587
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1550
2.07 KIPS |
|
|
Text Classification (Q)
|
91% |
1317
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2222
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2185
37.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2181
37.6 IPS |
