Generic
Geekbench AI Score
1610
Single Precision Score
484
Half Precision Score
1689
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | September 09 2024 08:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-10100T |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B460M Pro4 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10100T |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
904
168.2 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.9 IPS |
|
|
Image Classification (Q)
|
97% |
1351
252.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
163
2.64 IPS |
|
|
Image Segmentation (Q)
|
97% |
992
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2874
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2256
2.63 IPS |
|
|
Pose Estimation (Q)
|
87% |
4790
5.66 IPS |
|
|
Object Detection (SP)
|
100% |
1016
80.6 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
86% |
1001
80.5 IPS |
|
|
Face Detection (SP)
|
100% |
1540
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
211
2.50 IPS |
|
|
Face Detection (Q)
|
96% |
2268
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3186
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
626
4.82 IPS |
|
|
Depth Estimation (Q)
|
76% |
2858
23.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6844
8.80 IPS |
|
|
Style Transfer (HP)
|
100% |
4955
6.37 IPS |
|
|
Style Transfer (Q)
|
87% |
8153
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1297
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1080
39.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1664
61.7 IPS |
|
|
Text Classification (SP)
|
100% |
1069
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
462
616.8 IPS |
|
|
Text Classification (Q)
|
97% |
321
429.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1324
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
413
7.11 IPS |
|
|
Machine Translation (Q)
|
60% |
1044
23.3 IPS |
