Generic
Geekbench AI Score
2716
Single Precision Score
1103
Half Precision Score
3979
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 14 2025 07:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7820X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X299 Professional Gaming i9 XE |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7820X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2563
476.7 IPS |
|
|
Image Classification (HP)
|
100% |
349
64.9 IPS |
|
|
Image Classification (Q)
|
96% |
3551
663.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
759
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
565
9.15 IPS |
|
|
Image Segmentation (Q)
|
97% |
4830
78.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6117
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4737
5.53 IPS |
|
|
Pose Estimation (Q)
|
86% |
11762
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
2350
186.4 IPS |
|
|
Object Detection (HP)
|
100% |
447
35.4 IPS |
|
|
Object Detection (Q)
|
58% |
2634
287.8 IPS |
|
|
Face Detection (SP)
|
100% |
2204
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
953
11.3 IPS |
|
|
Face Detection (Q)
|
96% |
5685
67.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7524
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1392
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
7764
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15052
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10950
14.1 IPS |
|
|
Style Transfer (Q)
|
87% |
9043
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2298
84.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1738
64.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3608
133.7 IPS |
|
|
Text Classification (SP)
|
100% |
1250
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
590
787.9 IPS |
|
|
Text Classification (Q)
|
97% |
910
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.44 IPS |
|
|
Machine Translation (Q)
|
68% |
1430
27.6 IPS |
