Inversenet Inc. FRONTIER
Geekbench AI Score
4510
Single Precision Score
1623
Half Precision Score
8031
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 08:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Inversenet Inc. FRONTIER |
| Motherboard | ASRock B760M-HDV/M.2 D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3898
725.0 IPS |
|
|
Image Classification (HP)
|
100% |
549
102.0 IPS |
|
|
Image Classification (Q)
|
99% |
6740
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2040
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1007
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9910
161.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7912
9.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
4495
5.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
25517
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
3438
272.7 IPS |
|
|
Object Detection (HP)
|
100% |
789
62.6 IPS |
|
|
Object Detection (Q)
|
86% |
7140
573.8 IPS |
|
|
Face Detection (SP)
|
100% |
9331
110.9 IPS |
|
|
Face Detection (HP)
|
100% |
1700
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
9918
118.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9556
73.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2202
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16016
127.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18800
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11500
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21446
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3124
115.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2011
74.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5689
210.7 IPS |
|
|
Text Classification (SP)
|
100% |
1561
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1445
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1971
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3277
65.8 IPS |
