System manufacturer System Product Name
Geekbench AI Score
2696
Single Precision Score
845
Half Precision Score
5012
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 03 2025 12:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10920X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF X299 MARK 2 |
| Power Plan | Driver Booster Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10920X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2111
392.6 IPS |
|
|
Image Classification (HP)
|
100% |
201
37.4 IPS |
|
|
Image Classification (Q)
|
99% |
4000
746.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
5701
92.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4966
5.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3890
4.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
22876
26.8 IPS |
|
|
Object Detection (SP)
|
100% |
2185
173.3 IPS |
|
|
Object Detection (HP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (Q)
|
86% |
4370
351.2 IPS |
|
|
Face Detection (SP)
|
100% |
4867
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
776
9.22 IPS |
|
|
Face Detection (Q)
|
97% |
6697
79.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5634
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1048
8.07 IPS |
|
|
Depth Estimation (Q)
|
78% |
10322
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13614
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8723
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19848
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2013
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1556
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3633
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
380
506.8 IPS |
|
|
Text Classification (Q)
|
97% |
590
790.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.81 IPS |
|
|
Machine Translation (Q)
|
65% |
1494
30.0 IPS |
