Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2414
Single Precision Score
1135
Half Precision Score
5051
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 10 2025 06:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| 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 | 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% |
1764
328.0 IPS |
|
|
Image Classification (HP)
|
100% |
408
75.8 IPS |
|
|
Image Classification (Q)
|
99% |
5086
948.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2545
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3849
4.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
3285
3.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
14674
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1711
135.7 IPS |
|
|
Object Detection (HP)
|
100% |
517
41.0 IPS |
|
|
Object Detection (Q)
|
86% |
4937
396.8 IPS |
|
|
Face Detection (SP)
|
100% |
3853
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
1188
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
7148
85.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4746
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1613
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11077
88.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9029
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7697
9.89 IPS |
|
|
Style Transfer (Q)
|
98% |
16524
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1479
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3179
117.7 IPS |
|
|
Text Classification (SP)
|
100% |
1237
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
670
894.7 IPS |
|
|
Text Classification (Q)
|
97% |
1241
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1549
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
561
9.66 IPS |
|
|
Machine Translation (Q)
|
65% |
2237
45.0 IPS |
