TheChocolateGamer's Main PC To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
1236
Single Precision Score
1242
Half Precision Score
775
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TheChocolateGamer |
| Upload Date | November 04 2025 11:42 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i3-10100F |
| System Information | |
|---|---|
| Operating System | Garuda Linux |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRock B460M Pro4 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
906
168.5 IPS |
|
|
Image Classification (HP)
|
100% |
908
168.8 IPS |
|
|
Image Classification (Q)
|
99% |
504
94.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1046
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
554
9.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
1420
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1426
1.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
1254
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
917
72.7 IPS |
|
|
Object Detection (HP)
|
100% |
921
73.0 IPS |
|
|
Object Detection (Q)
|
85% |
550
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
1516
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
1520
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
1195
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1484
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1493
11.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1043
9.78 IPS |
|
|
Style Transfer (SP)
|
100% |
1901
2.44 IPS |
|
|
Style Transfer (HP)
|
100% |
1906
2.45 IPS |
|
|
Style Transfer (Q)
|
98% |
2629
3.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
841
31.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
842
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
721
26.7 IPS |
|
|
Text Classification (SP)
|
100% |
1222
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1244
1.66 KIPS |
|
|
Text Classification (Q)
|
92% |
436
586.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1541
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1550
26.7 IPS |
|
|
Machine Translation (Q)
|
58% |
395
9.27 IPS |
