System manufacturer System Product Name
Geekbench AI Score
186
Single Precision Score
213
Half Precision Score
118
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| Upload Date | October 26 2024 11:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-7600K |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. STRIX Z270E GAMING |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7600K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
101
18.9 IPS |
|
|
Image Classification (HP)
|
100% |
104
19.3 IPS |
|
|
Image Classification (Q)
|
99% |
58
10.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
132
2.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
156
2.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
102
1.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
532
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
424
0.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
369
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
44
3.51 IPS |
|
|
Object Detection (HP)
|
100% |
60
4.76 IPS |
|
|
Object Detection (Q)
|
85% |
38
3.10 IPS |
|
|
Face Detection (SP)
|
100% |
177
2.11 IPS |
|
|
Face Detection (HP)
|
100% |
157
1.87 IPS |
|
|
Face Detection (Q)
|
97% |
134
1.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
176
1.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
214
1.65 IPS |
|
|
Depth Estimation (Q)
|
63% |
112
1.05 IPS |
|
|
Style Transfer (SP)
|
100% |
839
1.08 IPS |
|
|
Style Transfer (HP)
|
100% |
895
1.15 IPS |
|
|
Style Transfer (Q)
|
98% |
841
1.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
179
6.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
396
14.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
165
6.11 IPS |
|
|
Text Classification (SP)
|
100% |
169
226.1 IPS |
|
|
Text Classification (HP)
|
100% |
114
152.0 IPS |
|
|
Text Classification (Q)
|
92% |
49
65.3 IPS |
|
|
Machine Translation (SP)
|
100% |
208
3.59 IPS |
|
|
Machine Translation (HP)
|
100% |
344
5.93 IPS |
|
|
Machine Translation (Q)
|
58% |
67
1.57 IPS |
