System manufacturer System Product Name
Geekbench AI Score
2414
Single Precision Score
676
Half Precision Score
3531
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | GyBHard |
| Upload Date | January 23 2026 11:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8500 |
| System Information | |
|---|---|
| Operating System | Bluefin (Version: 43.20251119.1) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z390-P |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1527
283.9 IPS |
|
|
Image Classification (HP)
|
100% |
151
28.1 IPS |
|
|
Image Classification (Q)
|
94% |
3097
578.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
988
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
1737
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4556
5.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
3354
3.91 IPS |
|
|
Pose Estimation (Q)
|
86% |
7725
9.13 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (Q)
|
58% |
2168
236.8 IPS |
|
|
Face Detection (SP)
|
100% |
1997
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
316
3.75 IPS |
|
|
Face Detection (Q)
|
96% |
6888
82.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4877
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
894
6.89 IPS |
|
|
Depth Estimation (Q)
|
78% |
7014
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10588
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8528
11.0 IPS |
|
|
Style Transfer (Q)
|
87% |
12093
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1916
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1571
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2315
85.8 IPS |
|
|
Text Classification (SP)
|
100% |
1723
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
508
677.8 IPS |
|
|
Text Classification (Q)
|
97% |
1247
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1845
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
419
7.22 IPS |
|
|
Machine Translation (Q)
|
68% |
1987
38.4 IPS |
