System manufacturer System Product Name
Geekbench AI Score
1512
Single Precision Score
1521
Half Precision Score
856
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | GyBHard |
| Upload Date | January 23 2026 10:57 PM |
| Views | 5 |
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% |
1174
218.3 IPS |
|
|
Image Classification (HP)
|
100% |
1141
212.3 IPS |
|
|
Image Classification (Q)
|
99% |
517
96.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
624
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1874
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1862
2.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
1715
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
1217
96.6 IPS |
|
|
Object Detection (HP)
|
100% |
1209
95.9 IPS |
|
|
Object Detection (Q)
|
85% |
618
49.8 IPS |
|
|
Face Detection (SP)
|
100% |
1809
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
1843
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
1270
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1813
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1791
13.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1187
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2312
2.97 IPS |
|
|
Style Transfer (HP)
|
100% |
2320
2.98 IPS |
|
|
Style Transfer (Q)
|
98% |
3346
4.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1084
40.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1111
41.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
886
32.8 IPS |
|
|
Text Classification (SP)
|
100% |
1225
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1276
1.70 KIPS |
|
|
Text Classification (Q)
|
92% |
397
533.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1780
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1834
31.6 IPS |
|
|
Machine Translation (Q)
|
58% |
350
8.21 IPS |
