Default string Default string
Geekbench AI Score
1463
Single Precision Score
1448
Half Precision Score
894
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | June 14 2025 09:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-12700H |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
971
180.6 IPS |
|
|
Image Classification (HP)
|
100% |
983
182.8 IPS |
|
|
Image Classification (Q)
|
99% |
552
103.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
773
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2083
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2045
2.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
1845
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
1084
86.0 IPS |
|
|
Object Detection (HP)
|
100% |
1068
84.7 IPS |
|
|
Object Detection (Q)
|
85% |
675
54.3 IPS |
|
|
Face Detection (SP)
|
100% |
2046
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
2093
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
1509
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1929
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1915
14.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1202
11.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3120
4.01 IPS |
|
|
Style Transfer (HP)
|
100% |
3058
3.93 IPS |
|
|
Style Transfer (Q)
|
98% |
3902
5.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1040
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1039
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
799
29.6 IPS |
|
|
Text Classification (SP)
|
100% |
723
965.6 IPS |
|
|
Text Classification (HP)
|
100% |
727
970.6 IPS |
|
|
Text Classification (Q)
|
92% |
282
378.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1560
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1436
24.7 IPS |
|
|
Machine Translation (Q)
|
58% |
387
9.08 IPS |
