System manufacturer System Product Name
Geekbench AI Score
21
Single Precision Score
21
Half Precision Score
15
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| User | kyzima-spb |
| Upload Date | December 18 2025 08:03 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-2500K |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. P8Z77-V LX |
| CPU Information | |
|---|---|
| Name | Intel Core i5-2500K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12
2.28 IPS |
|
|
Image Classification (HP)
|
100% |
12
2.28 IPS |
|
|
Image Classification (Q)
|
97% |
10
1.81 IPS |
|
|
Image Segmentation (SP)
|
100% |
17
0.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
17
0.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
13
0.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
19
0.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
19
0.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
16
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
12
0.94 IPS |
|
|
Object Detection (HP)
|
100% |
12
0.94 IPS |
|
|
Object Detection (Q)
|
87% |
9
0.75 IPS |
|
|
Face Detection (SP)
|
100% |
40
0.48 IPS |
|
|
Face Detection (HP)
|
100% |
40
0.48 IPS |
|
|
Face Detection (Q)
|
97% |
31
0.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
28
0.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
28
0.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
19
0.18 IPS |
|
|
Style Transfer (SP)
|
100% |
60
0.08 IPS |
|
|
Style Transfer (HP)
|
100% |
60
0.08 IPS |
|
|
Style Transfer (Q)
|
98% |
48
0.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13
0.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13
0.47 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10
0.37 IPS |
|
|
Text Classification (SP)
|
100% |
16
21.5 IPS |
|
|
Text Classification (HP)
|
100% |
16
21.5 IPS |
|
|
Text Classification (Q)
|
91% |
12
16.3 IPS |
|
|
Machine Translation (SP)
|
100% |
31
0.53 IPS |
|
|
Machine Translation (HP)
|
100% |
31
0.53 IPS |
|
|
Machine Translation (Q)
|
58% |
17
0.39 IPS |
