ASUS System Product Name
Geekbench ML Score
24560
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 18 2024 08:39 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-I GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11252
2.11 KIPS |
|
|
Image Classification (F16)
|
100% |
11836
2.21 KIPS |
|
|
Image Classification (I8)
|
100% |
9623
1.80 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18558
309.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
18075
301.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
16784
280.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
178334
216.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
178049
215.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
160460
194.3 IPS |
|
|
Object Detection (F32)
|
100% |
7763
579.5 IPS |
|
|
Object Detection (F16)
|
100% |
7748
578.4 IPS |
|
|
Object Detection (I8)
|
56% |
7176
535.8 IPS |
|
|
Face Detection (F32)
|
100% |
36638
435.6 IPS |
|
|
Face Detection (F16)
|
100% |
36064
428.8 IPS |
|
|
Face Detection (I8)
|
89% |
31189
370.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
68580
531.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
66316
514.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
53524
415.1 IPS |
|
|
Style Transfer (F32)
|
100% |
314742
414.0 IPS |
|
|
Style Transfer (F16)
|
100% |
320546
421.7 IPS |
|
|
Style Transfer (I8)
|
98% |
281083
369.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
48478
1.73 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
48233
1.72 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
34464
1.23 KIPS |
|
|
Text Classification (F32)
|
100% |
3204
4.61 KIPS |
|
|
Text Classification (F16)
|
100% |
3190
4.58 KIPS |
|
|
Text Classification (I8)
|
98% |
1903
2.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
5044
92.8 IPS |
|
|
Machine Translation (F16)
|
100% |
5046
92.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2830
52.1 IPS |
