GAME GARAJ SLAYER R9T
Geekbench AI Score
24106
Single Precision Score
42638
Half Precision Score
18998
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | January 25 2026 06:16 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti Laptop GPU |
| 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% |
9876
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
16198
3.01 KIPS |
|
|
Image Classification (Q)
|
100% |
9185
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16598
269.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23321
378.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15231
247.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
121259
141.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
430737
502.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
120434
141.1 IPS |
|
|
Object Detection (SP)
|
100% |
13153
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
21242
1.68 KIPS |
|
|
Object Detection (Q)
|
83% |
11205
905.3 IPS |
|
|
Face Detection (SP)
|
100% |
33821
401.9 IPS |
|
|
Face Detection (HP)
|
100% |
51891
616.6 IPS |
|
|
Face Detection (Q)
|
97% |
28995
345.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
62126
478.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
121385
935.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
49280
393.3 IPS |
|
|
Style Transfer (SP)
|
100% |
205636
264.3 IPS |
|
|
Style Transfer (HP)
|
100% |
673535
865.8 IPS |
|
|
Style Transfer (Q)
|
98% |
175262
226.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34263
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64045
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27365
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3493
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4124
5.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2177
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4903
84.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5128
88.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2175
40.8 IPS |
