Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1181
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 15 2024 12:01 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 | 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% |
497
93.1 IPS |
|
|
Image Classification (F16)
|
100% |
500
93.6 IPS |
|
|
Image Classification (I8)
|
100% |
416
77.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
804
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
839
14.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
635
10.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
3684
4.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
3748
4.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
2684
3.25 IPS |
|
|
Object Detection (F32)
|
100% |
679
50.7 IPS |
|
|
Object Detection (F16)
|
100% |
610
45.6 IPS |
|
|
Object Detection (I8)
|
54% |
551
41.1 IPS |
|
|
Face Detection (F32)
|
100% |
1204
14.3 IPS |
|
|
Face Detection (F16)
|
100% |
1163
13.8 IPS |
|
|
Face Detection (I8)
|
89% |
820
9.75 IPS |
|
|
Depth Estimation (F32)
|
100% |
2495
19.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2539
19.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
1948
15.1 IPS |
|
|
Style Transfer (F32)
|
100% |
7730
10.2 IPS |
|
|
Style Transfer (F16)
|
100% |
8313
10.9 IPS |
|
|
Style Transfer (I8)
|
98% |
6639
8.73 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1549
55.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1548
55.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
871
31.1 IPS |
|
|
Text Classification (F32)
|
100% |
717
1.03 KIPS |
|
|
Text Classification (F16)
|
100% |
721
1.04 KIPS |
|
|
Text Classification (I8)
|
98% |
373
536.4 IPS |
|
|
Machine Translation (F32)
|
100% |
647
11.9 IPS |
|
|
Machine Translation (F16)
|
100% |
652
12.0 IPS |
|
|
Machine Translation (I8)
|
70% |
383
7.04 IPS |
