ASRock X670E Taichi
Geekbench AI Score
34039
Single Precision Score
38716
Half Precision Score
27678
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 02:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X670E Taichi |
| Motherboard | ASRock X670E Taichi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15190
2.82 KIPS |
|
|
Image Classification (HP)
|
100% |
16039
2.98 KIPS |
|
|
Image Classification (Q)
|
99% |
13151
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22153
359.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19627
318.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
20695
336.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
253848
296.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
379248
442.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
232227
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
16258
1.29 KIPS |
|
|
Object Detection (HP)
|
99% |
17738
1.41 KIPS |
|
|
Object Detection (Q)
|
87% |
14140
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
46593
553.6 IPS |
|
|
Face Detection (HP)
|
100% |
51151
607.8 IPS |
|
|
Face Detection (Q)
|
97% |
40974
488.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
74431
573.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
91739
706.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
64277
515.1 IPS |
|
|
Style Transfer (SP)
|
100% |
412145
529.8 IPS |
|
|
Style Transfer (HP)
|
100% |
593463
762.9 IPS |
|
|
Style Transfer (Q)
|
98% |
371480
479.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48498
1.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59516
2.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39101
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
4304
5.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4285
5.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2782
3.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5041
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5032
86.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2775
52.1 IPS |
