System manufacturer System Product Name
Geekbench AI Score
216
Single Precision Score
223
Half Precision Score
161
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| Upload Date | October 26 2024 11:44 PM |
| Views | 7 |
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% |
63
11.7 IPS |
|
|
Image Classification (HP)
|
100% |
73
13.6 IPS |
|
|
Image Classification (Q)
|
99% |
58
10.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
225
3.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
181
2.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
744
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
739
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
595
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
115
9.11 IPS |
|
|
Object Detection (HP)
|
100% |
105
8.36 IPS |
|
|
Object Detection (Q)
|
85% |
79
6.32 IPS |
|
|
Face Detection (SP)
|
100% |
300
3.56 IPS |
|
|
Face Detection (HP)
|
100% |
330
3.92 IPS |
|
|
Face Detection (Q)
|
97% |
276
3.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
328
2.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
355
2.74 IPS |
|
|
Depth Estimation (Q)
|
63% |
238
2.23 IPS |
|
|
Style Transfer (SP)
|
100% |
1305
1.68 IPS |
|
|
Style Transfer (HP)
|
100% |
1275
1.64 IPS |
|
|
Style Transfer (Q)
|
98% |
1354
1.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
171
6.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
182
6.74 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
163
6.03 IPS |
|
|
Text Classification (SP)
|
100% |
71
94.1 IPS |
|
|
Text Classification (HP)
|
100% |
70
93.6 IPS |
|
|
Text Classification (Q)
|
92% |
30
40.0 IPS |
|
|
Machine Translation (SP)
|
100% |
94
1.62 IPS |
|
|
Machine Translation (HP)
|
100% |
129
2.22 IPS |
|
|
Machine Translation (Q)
|
58% |
55
1.30 IPS |
