Default string Default string
Geekbench AI Score
2018
Single Precision Score
877
Half Precision Score
3958
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Danny_Lai |
| Upload Date | March 12 2026 04:28 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900HK |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900HK |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1476
274.6 IPS |
|
|
Image Classification (HP)
|
100% |
343
63.7 IPS |
|
|
Image Classification (Q)
|
99% |
2973
554.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
995
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
608
9.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
4695
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3131
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2107
2.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
10264
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1399
110.9 IPS |
|
|
Object Detection (HP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (Q)
|
86% |
3301
265.3 IPS |
|
|
Face Detection (SP)
|
100% |
3447
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
988
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
5154
61.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4072
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1237
9.53 IPS |
|
|
Depth Estimation (Q)
|
78% |
7475
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7604
9.77 IPS |
|
|
Style Transfer (HP)
|
100% |
5218
6.71 IPS |
|
|
Style Transfer (Q)
|
98% |
11018
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1475
54.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1044
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2914
107.9 IPS |
|
|
Text Classification (SP)
|
100% |
868
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
409
545.3 IPS |
|
|
Text Classification (Q)
|
97% |
875
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
540
9.31 IPS |
|
|
Machine Translation (Q)
|
65% |
1846
37.1 IPS |
