ASUS System Product Name
Geekbench ML Score
27381
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 09 2025 02:14 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X670-P WIFI |
| 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 |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
13514
2.53 KIPS |
|
|
Image Classification (F16)
|
100% |
13393
2.51 KIPS |
|
|
Image Classification (I8)
|
100% |
11480
2.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
20003
334.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
20525
342.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
19298
322.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
180080
218.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
180237
218.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
162203
196.4 IPS |
|
|
Object Detection (F32)
|
100% |
7590
566.6 IPS |
|
|
Object Detection (F16)
|
100% |
7516
561.1 IPS |
|
|
Object Detection (I8)
|
50% |
7338
547.8 IPS |
|
|
Face Detection (F32)
|
100% |
45180
537.2 IPS |
|
|
Face Detection (F16)
|
100% |
43983
523.0 IPS |
|
|
Face Detection (I8)
|
89% |
35684
424.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
90628
702.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
88751
688.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
68763
533.3 IPS |
|
|
Style Transfer (F32)
|
100% |
332030
436.8 IPS |
|
|
Style Transfer (F16)
|
100% |
332611
437.5 IPS |
|
|
Style Transfer (I8)
|
98% |
277806
365.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
51677
1.85 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
50804
1.81 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
39119
1.40 KIPS |
|
|
Text Classification (F32)
|
100% |
3627
5.21 KIPS |
|
|
Text Classification (F16)
|
100% |
3608
5.19 KIPS |
|
|
Text Classification (I8)
|
98% |
2280
3.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
5664
104.2 IPS |
|
|
Machine Translation (F16)
|
100% |
5647
103.9 IPS |
|
|
Machine Translation (I8)
|
70% |
3107
57.2 IPS |
