Generic
Geekbench AI Score
1458
Single Precision Score
769
Half Precision Score
1241
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 02 2025 05:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-2600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock P67 Performance |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-2600K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 6.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1057
196.5 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.3 IPS |
|
|
Image Classification (Q)
|
96% |
980
183.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
479
7.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
783
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2065
2.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1527
1.78 IPS |
|
|
Pose Estimation (Q)
|
86% |
1925
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
1027
81.4 IPS |
|
|
Object Detection (HP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (Q)
|
58% |
704
76.9 IPS |
|
|
Face Detection (SP)
|
100% |
2251
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
946
11.2 IPS |
|
|
Face Detection (Q)
|
96% |
2106
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2653
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1166
8.98 IPS |
|
|
Depth Estimation (Q)
|
78% |
2172
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4932
6.34 IPS |
|
|
Style Transfer (HP)
|
100% |
3969
5.10 IPS |
|
|
Style Transfer (Q)
|
87% |
4061
5.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1004
37.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
861
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
986
36.5 IPS |
|
|
Text Classification (SP)
|
100% |
851
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
437
583.5 IPS |
|
|
Text Classification (Q)
|
97% |
396
530.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (Q)
|
68% |
1156
22.3 IPS |
