Default string Default string
Geekbench AI Score
1372
Single Precision Score
683
Half Precision Score
2158
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 05:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-8950HK |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-8950HK |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
978
182.0 IPS |
|
|
Image Classification (HP)
|
100% |
242
45.1 IPS |
|
|
Image Classification (Q)
|
96% |
1928
360.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
598
9.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
2275
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2382
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2058
2.40 IPS |
|
|
Pose Estimation (Q)
|
86% |
4021
4.75 IPS |
|
|
Object Detection (SP)
|
100% |
1008
80.0 IPS |
|
|
Object Detection (HP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (Q)
|
58% |
1300
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
1418
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
597
7.09 IPS |
|
|
Face Detection (Q)
|
96% |
3139
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2913
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
966
7.45 IPS |
|
|
Depth Estimation (Q)
|
78% |
4116
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5453
7.01 IPS |
|
|
Style Transfer (HP)
|
100% |
4466
5.74 IPS |
|
|
Style Transfer (Q)
|
87% |
5525
7.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
989
36.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
905
33.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1951
72.3 IPS |
|
|
Text Classification (SP)
|
100% |
843
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
439
585.9 IPS |
|
|
Text Classification (Q)
|
97% |
637
853.3 IPS |
|
|
Machine Translation (SP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
68% |
1081
20.9 IPS |
