Genmachine Ren9 6900HX ES Default string Default string
Geekbench AI Score
2849
Single Precision Score
1375
Half Precision Score
3090
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | snoWald |
| Upload Date | September 07 2024 02:02 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000000560-40_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string HCAR6000-MI2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000000560-40_Y |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 0 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1816
337.7 IPS |
|
|
Image Classification (HP)
|
100% |
523
97.3 IPS |
|
|
Image Classification (Q)
|
96% |
3276
611.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
447
7.24 IPS |
|
|
Image Segmentation (Q)
|
97% |
2002
32.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5685
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
4643
5.42 IPS |
|
|
Pose Estimation (Q)
|
87% |
11175
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2142
169.9 IPS |
|
|
Object Detection (HP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (Q)
|
86% |
1965
158.0 IPS |
|
|
Face Detection (SP)
|
100% |
2611
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
1431
17.0 IPS |
|
|
Face Detection (Q)
|
96% |
3552
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6862
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2205
17.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
5749
46.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14049
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11913
15.3 IPS |
|
|
Style Transfer (Q)
|
87% |
16400
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2415
89.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2040
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2579
95.5 IPS |
|
|
Text Classification (SP)
|
100% |
1940
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
723
964.5 IPS |
|
|
Text Classification (Q)
|
97% |
399
534.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1998
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1602
35.7 IPS |
