Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1291
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 02 2024 10:18 PM |
| 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 | Ausbalanciert |
| 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% |
571
106.8 IPS |
|
|
Image Classification (F16)
|
100% |
573
107.2 IPS |
|
|
Image Classification (I8)
|
100% |
480
89.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
870
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
864
14.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
674
11.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
4347
5.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
4419
5.35 IPS |
|
|
Pose Estimation (I8)
|
100% |
3086
3.74 IPS |
|
|
Object Detection (F32)
|
100% |
659
49.2 IPS |
|
|
Object Detection (F16)
|
100% |
681
50.8 IPS |
|
|
Object Detection (I8)
|
54% |
548
40.9 IPS |
|
|
Face Detection (F32)
|
100% |
1281
15.2 IPS |
|
|
Face Detection (F16)
|
100% |
1282
15.2 IPS |
|
|
Face Detection (I8)
|
89% |
911
10.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2656
20.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2661
20.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
2058
16.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9586
12.6 IPS |
|
|
Style Transfer (F16)
|
100% |
9508
12.5 IPS |
|
|
Style Transfer (I8)
|
98% |
7160
9.42 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1651
59.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1628
58.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
881
31.5 IPS |
|
|
Text Classification (F32)
|
100% |
689
990.6 IPS |
|
|
Text Classification (F16)
|
100% |
700
1.01 KIPS |
|
|
Text Classification (I8)
|
98% |
354
508.3 IPS |
|
|
Machine Translation (F32)
|
100% |
860
15.8 IPS |
|
|
Machine Translation (F16)
|
100% |
866
15.9 IPS |
|
|
Machine Translation (I8)
|
70% |
432
7.94 IPS |
