Default string Default string
Geekbench AI Score
1480
Single Precision Score
698
Half Precision Score
2313
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 08:03 AM |
| Views | 4 |
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% |
1161
215.9 IPS |
|
|
Image Classification (HP)
|
100% |
247
46.0 IPS |
|
|
Image Classification (Q)
|
96% |
1955
365.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
366
5.94 IPS |
|
|
Image Segmentation (Q)
|
97% |
2336
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2415
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2157
2.52 IPS |
|
|
Pose Estimation (Q)
|
86% |
4950
5.85 IPS |
|
|
Object Detection (SP)
|
100% |
1150
91.3 IPS |
|
|
Object Detection (HP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (Q)
|
58% |
1389
151.8 IPS |
|
|
Face Detection (SP)
|
100% |
1430
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
603
7.16 IPS |
|
|
Face Detection (Q)
|
96% |
3223
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2943
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
957
7.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
4366
34.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6236
8.02 IPS |
|
|
Style Transfer (HP)
|
100% |
4772
6.13 IPS |
|
|
Style Transfer (Q)
|
87% |
6040
7.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1102
40.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
959
35.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2001
74.1 IPS |
|
|
Text Classification (SP)
|
100% |
893
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
460
614.3 IPS |
|
|
Text Classification (Q)
|
97% |
704
942.8 IPS |
|
|
Machine Translation (SP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.50 IPS |
|
|
Machine Translation (Q)
|
68% |
1169
22.6 IPS |
