Wortmann_AG TERRA_PC
Geekbench AI Score
980
Single Precision Score
984
Half Precision Score
585
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | lorz-o |
| Upload Date | May 27 2025 03:04 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-7500T |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Wortmann_AG TERRA_PC |
| Motherboard | FUJITSU D3410-B2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500T |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 10.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
715
133.0 IPS |
|
|
Image Classification (HP)
|
100% |
717
133.4 IPS |
|
|
Image Classification (Q)
|
99% |
376
70.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
827
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
826
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
408
6.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
1104
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1108
1.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
958
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
731
58.0 IPS |
|
|
Object Detection (HP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (Q)
|
85% |
414
33.3 IPS |
|
|
Face Detection (SP)
|
100% |
1189
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1227
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
911
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1205
9.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
1197
9.22 IPS |
|
|
Depth Estimation (Q)
|
63% |
786
7.37 IPS |
|
|
Style Transfer (SP)
|
100% |
1446
1.86 IPS |
|
|
Style Transfer (HP)
|
100% |
1435
1.84 IPS |
|
|
Style Transfer (Q)
|
98% |
2005
2.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
689
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
692
25.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
549
20.3 IPS |
|
|
Text Classification (SP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
968
1.29 KIPS |
|
|
Text Classification (Q)
|
92% |
332
445.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (Q)
|
58% |
299
7.01 IPS |
