System manufacturer System Product Name
Geekbench AI Score
2050
Single Precision Score
2061
Half Precision Score
3179
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | August 17 2024 08:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-7600 CPU @ 3.50GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B250M-C |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7600 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1425
265.1 IPS |
|
|
Image Classification (HP)
|
100% |
1428
265.6 IPS |
|
|
Image Classification (Q)
|
100% |
2181
405.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1234
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1200
19.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2050
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2923
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2933
3.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
5620
6.59 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
100% |
1350
107.1 IPS |
|
|
Object Detection (Q)
|
87% |
2229
178.8 IPS |
|
|
Face Detection (SP)
|
100% |
2611
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
2591
30.8 IPS |
|
|
Face Detection (Q)
|
97% |
5642
67.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3749
28.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
3729
28.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
6289
49.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8368
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8409
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15852
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1764
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1621
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2764
102.4 IPS |
|
|
Text Classification (SP)
|
100% |
1072
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1198
1.60 KIPS |
|
|
Text Classification (Q)
|
91% |
1043
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1230
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1292
22.3 IPS |
|
|
Machine Translation (Q)
|
90% |
1161
20.2 IPS |
