KAMRUI AM08PRO Default string Default string
Geekbench AI Score
6903
Single Precision Score
6828
Half Precision Score
5383
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | August 21 2025 11:56 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2058
382.8 IPS |
|
|
Image Classification (HP)
|
100% |
2965
551.5 IPS |
|
|
Image Classification (Q)
|
99% |
1831
341.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3352
54.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3379
54.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2984
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
63669
74.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
35293
41.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
49565
58.1 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
3479
275.9 IPS |
|
|
Object Detection (Q)
|
84% |
2186
176.3 IPS |
|
|
Face Detection (SP)
|
100% |
4934
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
6883
81.8 IPS |
|
|
Face Detection (Q)
|
97% |
4402
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18492
142.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16726
129.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
14514
116.0 IPS |
|
|
Style Transfer (SP)
|
100% |
97103
124.8 IPS |
|
|
Style Transfer (HP)
|
100% |
57579
74.0 IPS |
|
|
Style Transfer (Q)
|
98% |
73894
95.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14675
541.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12272
453.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9433
349.3 IPS |
|
|
Text Classification (SP)
|
100% |
1354
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1715
2.29 KIPS |
|
|
Text Classification (Q)
|
97% |
911
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1284
22.2 IPS |
|
|
Machine Translation (Q)
|
70% |
851
16.0 IPS |
