Gigabyte Technology Co., Ltd. Z790 AORUS ELITE AX
Geekbench ML Score
5252
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 09:52 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2759
516.2 IPS |
|
|
Image Classification (F16)
|
100% |
2807
525.2 IPS |
|
|
Image Classification (I8)
|
99% |
4690
877.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2387
39.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2390
39.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3614
60.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
12280
14.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
12315
14.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
38024
46.0 IPS |
|
|
Object Detection (F32)
|
100% |
2724
203.4 IPS |
|
|
Object Detection (F16)
|
100% |
2555
190.8 IPS |
|
|
Object Detection (I8)
|
62% |
2282
170.4 IPS |
|
|
Face Detection (F32)
|
100% |
5220
62.1 IPS |
|
|
Face Detection (F16)
|
100% |
5234
62.2 IPS |
|
|
Face Detection (I8)
|
89% |
5302
63.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
11139
86.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11471
89.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
18042
139.9 IPS |
|
|
Style Transfer (F32)
|
100% |
27715
36.5 IPS |
|
|
Style Transfer (F16)
|
100% |
27028
35.6 IPS |
|
|
Style Transfer (I8)
|
98% |
28933
38.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5385
192.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5154
184.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6852
244.7 IPS |
|
|
Text Classification (F32)
|
100% |
1907
2.74 KIPS |
|
|
Text Classification (F16)
|
100% |
1841
2.65 KIPS |
|
|
Text Classification (I8)
|
98% |
536
770.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2623
48.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2524
46.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3478
64.0 IPS |
