Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1301
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 07:29 PM |
| Views | 2 |
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 | Ultimative Leistung |
| 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% |
618
115.7 IPS |
|
|
Image Classification (F16)
|
100% |
620
116.0 IPS |
|
|
Image Classification (I8)
|
100% |
508
95.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
934
15.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
935
15.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
706
11.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
4289
5.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
4248
5.14 IPS |
|
|
Pose Estimation (I8)
|
100% |
3002
3.64 IPS |
|
|
Object Detection (F32)
|
100% |
707
52.8 IPS |
|
|
Object Detection (F16)
|
100% |
713
53.2 IPS |
|
|
Object Detection (I8)
|
54% |
590
44.1 IPS |
|
|
Face Detection (F32)
|
100% |
1333
15.8 IPS |
|
|
Face Detection (F16)
|
100% |
1335
15.9 IPS |
|
|
Face Detection (I8)
|
89% |
950
11.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2708
21.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2727
21.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
2142
16.6 IPS |
|
|
Style Transfer (F32)
|
100% |
9413
12.4 IPS |
|
|
Style Transfer (F16)
|
100% |
9368
12.3 IPS |
|
|
Style Transfer (I8)
|
98% |
7169
9.43 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1613
57.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1629
58.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
906
32.4 IPS |
|
|
Text Classification (F32)
|
100% |
735
1.06 KIPS |
|
|
Text Classification (F16)
|
100% |
740
1.06 KIPS |
|
|
Text Classification (I8)
|
98% |
383
550.3 IPS |
|
|
Machine Translation (F32)
|
100% |
655
12.0 IPS |
|
|
Machine Translation (F16)
|
100% |
655
12.1 IPS |
|
|
Machine Translation (I8)
|
70% |
385
7.09 IPS |
