Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
2619
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 16 2024 02:48 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana GF76 11UC |
| Motherboard | Micro-Star International Co., Ltd. MS-17L2 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 8 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1342
251.1 IPS |
|
|
Image Classification (F16)
|
100% |
1395
261.0 IPS |
|
|
Image Classification (I8)
|
99% |
2979
557.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1021
17.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1088
18.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2339
39.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
4299
5.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
4055
4.91 IPS |
|
|
Pose Estimation (I8)
|
100% |
14881
18.0 IPS |
|
|
Object Detection (F32)
|
100% |
1439
107.4 IPS |
|
|
Object Detection (F16)
|
100% |
1368
102.1 IPS |
|
|
Object Detection (I8)
|
62% |
1350
100.8 IPS |
|
|
Face Detection (F32)
|
100% |
2205
26.2 IPS |
|
|
Face Detection (F16)
|
100% |
2239
26.6 IPS |
|
|
Face Detection (I8)
|
89% |
3398
40.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4491
34.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
3725
28.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
11152
86.5 IPS |
|
|
Style Transfer (F32)
|
100% |
7763
10.2 IPS |
|
|
Style Transfer (F16)
|
100% |
9097
12.0 IPS |
|
|
Style Transfer (I8)
|
98% |
15844
20.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2100
75.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1909
68.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3190
113.9 IPS |
|
|
Text Classification (F32)
|
100% |
1465
2.11 KIPS |
|
|
Text Classification (F16)
|
100% |
1276
1.83 KIPS |
|
|
Text Classification (I8)
|
98% |
938
1.35 KIPS |
|
|
Machine Translation (F32)
|
100% |
1423
26.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1450
26.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2166
39.9 IPS |
