Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
4098
Single Precision Score
7284
Half Precision Score
3317
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | November 01 2024 03:11 AM |
| Views | 3 |
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% |
595
110.6 IPS |
|
|
Image Classification (HP)
|
100% |
615
114.3 IPS |
|
|
Image Classification (Q)
|
99% |
486
90.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
865
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1025
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
693
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4481
5.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
4128
4.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
3055
3.58 IPS |
|
|
Object Detection (SP)
|
100% |
694
55.1 IPS |
|
|
Object Detection (HP)
|
100% |
8694
689.6 IPS |
|
|
Object Detection (Q)
|
89% |
3170
253.8 IPS |
|
|
Face Detection (SP)
|
100% |
8966
106.5 IPS |
|
|
Face Detection (HP)
|
100% |
14928
177.4 IPS |
|
|
Face Detection (Q)
|
97% |
6988
83.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19636
151.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
42907
330.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
14355
115.5 IPS |
|
|
Style Transfer (SP)
|
100% |
62000
79.7 IPS |
|
|
Style Transfer (HP)
|
100% |
171047
219.9 IPS |
|
|
Style Transfer (Q)
|
98% |
51566
66.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12864
475.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22439
828.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8173
302.6 IPS |
|
|
Text Classification (SP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (HP)
|
99% |
2786
3.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1155
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2668
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2715
46.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1015
22.7 IPS |
