To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
1460
Single Precision Score
1463
Half Precision Score
909
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | pinkeen |
| Upload Date | September 10 2025 05:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-8700 |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRock Z370 Extreme4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1236
229.8 IPS |
|
|
Image Classification (HP)
|
100% |
1251
232.7 IPS |
|
|
Image Classification (Q)
|
99% |
570
106.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
682
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1715
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1685
1.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
1748
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
1198
95.0 IPS |
|
|
Object Detection (HP)
|
100% |
1184
93.9 IPS |
|
|
Object Detection (Q)
|
85% |
668
53.8 IPS |
|
|
Face Detection (SP)
|
100% |
1660
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
1647
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
1199
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1633
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1605
12.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1298
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1953
2.51 IPS |
|
|
Style Transfer (HP)
|
100% |
1909
2.45 IPS |
|
|
Style Transfer (Q)
|
98% |
3534
4.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1174
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1207
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1000
37.0 IPS |
|
|
Text Classification (SP)
|
100% |
1361
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1401
1.87 KIPS |
|
|
Text Classification (Q)
|
92% |
434
583.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (Q)
|
58% |
357
8.39 IPS |
