Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1534
Single Precision Score
1585
Half Precision Score
989
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | November 01 2024 03:17 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
601
111.8 IPS |
|
|
Image Classification (HP)
|
100% |
614
114.2 IPS |
|
|
Image Classification (Q)
|
99% |
487
90.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
912
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1033
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
695
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4695
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
5192
6.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
3234
3.79 IPS |
|
|
Object Detection (SP)
|
100% |
697
55.3 IPS |
|
|
Object Detection (HP)
|
98% |
597
47.5 IPS |
|
|
Object Detection (Q)
|
89% |
528
42.3 IPS |
|
|
Face Detection (SP)
|
100% |
1294
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1408
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
899
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2699
20.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2922
22.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
1962
15.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9859
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13093
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
7335
9.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1668
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2293
84.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
857
31.7 IPS |
|
|
Text Classification (SP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
472
629.7 IPS |
|
|
Text Classification (Q)
|
97% |
399
534.6 IPS |
|
|
Machine Translation (SP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
874
15.1 IPS |
|
|
Machine Translation (Q)
|
60% |
353
7.86 IPS |
