ASUS System Product Name
Geekbench ML Score
14972
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | morglor |
| Upload Date | April 03 2024 03:07 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P D4 |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 25.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8634
1.62 KIPS |
|
|
Image Classification (F16)
|
100% |
9173
1.72 KIPS |
|
|
Image Classification (I8)
|
100% |
7507
1.40 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9785
163.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
10209
170.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
9335
155.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
217514
263.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
197284
238.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
193934
234.8 IPS |
|
|
Object Detection (F32)
|
100% |
3590
268.0 IPS |
|
|
Object Detection (F16)
|
100% |
3529
263.4 IPS |
|
|
Object Detection (I8)
|
56% |
3205
239.3 IPS |
|
|
Face Detection (F32)
|
100% |
19549
232.4 IPS |
|
|
Face Detection (F16)
|
100% |
26440
314.4 IPS |
|
|
Face Detection (I8)
|
89% |
23609
280.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
48484
376.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
45295
351.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
33296
258.2 IPS |
|
|
Style Transfer (F32)
|
100% |
194718
256.1 IPS |
|
|
Style Transfer (F16)
|
100% |
195383
257.0 IPS |
|
|
Style Transfer (I8)
|
98% |
183768
241.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20042
715.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20919
747.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16642
594.3 IPS |
|
|
Text Classification (F32)
|
100% |
1428
2.05 KIPS |
|
|
Text Classification (F16)
|
100% |
1416
2.03 KIPS |
|
|
Text Classification (I8)
|
98% |
1214
1.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
1854
34.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2340
43.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2091
38.5 IPS |
