Z690 Taichi
Geekbench ML Score
4405
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 07 2024 09:48 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | Z690 Taichi |
| Motherboard | ASRock Z690 Taichi |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.25 MB x 3 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2308
431.9 IPS |
|
|
Image Classification (F16)
|
100% |
2295
429.5 IPS |
|
|
Image Classification (I8)
|
99% |
4201
786.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2123
35.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2111
35.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2930
48.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
9850
11.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
9859
11.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
29801
36.1 IPS |
|
|
Object Detection (F32)
|
100% |
2308
172.3 IPS |
|
|
Object Detection (F16)
|
100% |
2127
158.8 IPS |
|
|
Object Detection (I8)
|
62% |
1930
144.0 IPS |
|
|
Face Detection (F32)
|
100% |
4580
54.5 IPS |
|
|
Face Detection (F16)
|
100% |
4490
53.4 IPS |
|
|
Face Detection (I8)
|
89% |
4668
55.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
9672
75.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9928
77.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
15097
117.1 IPS |
|
|
Style Transfer (F32)
|
100% |
20496
27.0 IPS |
|
|
Style Transfer (F16)
|
100% |
20387
26.8 IPS |
|
|
Style Transfer (I8)
|
98% |
26881
35.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4308
153.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4077
145.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5321
190.0 IPS |
|
|
Text Classification (F32)
|
100% |
1636
2.35 KIPS |
|
|
Text Classification (F16)
|
100% |
1619
2.33 KIPS |
|
|
Text Classification (I8)
|
98% |
528
759.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2085
38.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2108
38.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2896
53.3 IPS |
