System manufacturer System Product Name
Geekbench AI Score
1515
Single Precision Score
1541
Half Precision Score
860
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | GyBHard |
| Upload Date | January 23 2026 10:51 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
1121
208.4 IPS |
|
|
Image Classification (HP)
|
100% |
1167
217.1 IPS |
|
|
Image Classification (Q)
|
99% |
519
96.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
629
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1888
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1863
2.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
1717
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
1206
95.7 IPS |
|
|
Object Detection (HP)
|
100% |
1221
96.8 IPS |
|
|
Object Detection (Q)
|
85% |
615
49.5 IPS |
|
|
Face Detection (SP)
|
100% |
1812
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
1847
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
1271
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1786
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1814
14.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1201
11.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2316
2.98 IPS |
|
|
Style Transfer (HP)
|
100% |
2322
2.98 IPS |
|
|
Style Transfer (Q)
|
98% |
3402
4.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1148
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1148
42.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
909
33.7 IPS |
|
|
Text Classification (SP)
|
100% |
1255
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1328
1.77 KIPS |
|
|
Text Classification (Q)
|
92% |
397
532.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1772
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1828
31.5 IPS |
|
|
Machine Translation (Q)
|
58% |
345
8.10 IPS |
