Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1275
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 26 2024 05:55 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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 | DirectML |
| Device | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
581
108.8 IPS |
|
|
Image Classification (F16)
|
100% |
585
109.4 IPS |
|
|
Image Classification (I8)
|
100% |
486
90.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
888
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
887
14.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
680
11.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4394
5.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
4395
5.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
3046
3.69 IPS |
|
|
Object Detection (F32)
|
100% |
689
51.4 IPS |
|
|
Object Detection (F16)
|
100% |
691
51.6 IPS |
|
|
Object Detection (I8)
|
54% |
562
42.0 IPS |
|
|
Face Detection (F32)
|
100% |
1310
15.6 IPS |
|
|
Face Detection (F16)
|
100% |
1309
15.6 IPS |
|
|
Face Detection (I8)
|
89% |
928
11.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2705
21.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2701
20.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
2070
16.1 IPS |
|
|
Style Transfer (F32)
|
100% |
9547
12.6 IPS |
|
|
Style Transfer (F16)
|
100% |
9623
12.7 IPS |
|
|
Style Transfer (I8)
|
98% |
7251
9.54 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1606
57.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1631
58.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
887
31.7 IPS |
|
|
Text Classification (F32)
|
100% |
707
1.02 KIPS |
|
|
Text Classification (F16)
|
100% |
671
964.9 IPS |
|
|
Text Classification (I8)
|
98% |
369
530.1 IPS |
|
|
Machine Translation (F32)
|
100% |
653
12.0 IPS |
|
|
Machine Translation (F16)
|
100% |
652
12.0 IPS |
|
|
Machine Translation (I8)
|
70% |
381
7.01 IPS |
