MicroElectronics G909
Geekbench AI Score
31719
Single Precision Score
47915
Half Precision Score
24279
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | paversity |
| Upload Date | January 11 2025 07:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MicroElectronics G909 |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X670E-PRO WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13070
2.43 KIPS |
|
|
Image Classification (HP)
|
99% |
18887
3.52 KIPS |
|
|
Image Classification (Q)
|
100% |
11366
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20180
327.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
26254
425.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18936
307.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
189760
221.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
466137
543.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
168744
197.7 IPS |
|
|
Object Detection (SP)
|
100% |
15970
1.27 KIPS |
|
|
Object Detection (HP)
|
100% |
24120
1.91 KIPS |
|
|
Object Detection (Q)
|
85% |
13399
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
44438
528.0 IPS |
|
|
Face Detection (HP)
|
100% |
58453
694.5 IPS |
|
|
Face Detection (Q)
|
97% |
37780
450.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
74997
577.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
133621
1.03 KIPS |
|
|
Depth Estimation (Q)
|
77% |
57967
463.4 IPS |
|
|
Style Transfer (SP)
|
100% |
347633
446.9 IPS |
|
|
Style Transfer (HP)
|
100% |
839927
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
308049
397.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52825
1.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66621
2.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37469
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
3889
5.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4826
6.44 KIPS |
|
|
Text Classification (Q)
|
97% |
2208
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5419
93.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5425
93.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2621
49.2 IPS |
