PCSpecialist Recoil 18
Geekbench AI Score
4611
Single Precision Score
7710
Half Precision Score
12113
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 10 2025 07:33 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | PCSpecialist Recoil 18 |
| Motherboard | CLEVO X58xWNx |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3379
628.4 IPS |
|
|
Image Classification (HP)
|
100% |
5430
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
7102
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2415
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6559
106.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9950
161.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11236
13.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
10634
12.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
35674
41.8 IPS |
|
|
Object Detection (SP)
|
100% |
3041
241.2 IPS |
|
|
Object Detection (HP)
|
100% |
5116
405.8 IPS |
|
|
Object Detection (Q)
|
88% |
8362
670.1 IPS |
|
|
Face Detection (SP)
|
100% |
4629
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
10379
123.3 IPS |
|
|
Face Detection (Q)
|
100% |
18147
215.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10639
82.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
18899
146.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
24052
187.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25856
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37202
47.8 IPS |
|
|
Style Transfer (Q)
|
98% |
83055
107.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4621
170.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8468
312.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14041
520.0 IPS |
|
|
Text Classification (SP)
|
71% |
1462
2.11 KIPS |
|
|
Text Classification (HP)
|
71% |
2318
3.35 KIPS |
|
|
Text Classification (Q)
|
92% |
2362
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1815
31.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2675
46.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2684
46.2 IPS |
