GAME GARAJ SLAYER R9T
Geekbench AI Score
10902
Single Precision Score
11213
Half Precision Score
27360
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | January 25 2026 06:14 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9955HX3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GAME GARAJ SLAYER R9T |
| Motherboard | Standard Standard |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9955HX3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5555
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5685
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
13693
2.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6733
109.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7512
121.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19818
321.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
26918
31.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26856
31.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
102688
120.2 IPS |
|
|
Object Detection (SP)
|
100% |
6875
545.4 IPS |
|
|
Object Detection (HP)
|
100% |
7094
562.7 IPS |
|
|
Object Detection (Q)
|
88% |
15321
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
11280
134.0 IPS |
|
|
Face Detection (HP)
|
100% |
11521
136.9 IPS |
|
|
Face Detection (Q)
|
100% |
40632
482.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21168
163.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20207
155.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
50834
395.6 IPS |
|
|
Style Transfer (SP)
|
100% |
61687
79.3 IPS |
|
|
Style Transfer (HP)
|
100% |
64662
83.1 IPS |
|
|
Style Transfer (Q)
|
98% |
227902
293.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10552
389.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10895
402.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30895
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3482
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
3554
4.74 KIPS |
|
|
Text Classification (Q)
|
92% |
5267
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
6337
109.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6628
114.2 IPS |
|
|
Machine Translation (Q)
|
100% |
7190
123.8 IPS |
