Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1974
Single Precision Score
918
Half Precision Score
3991
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 08:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| 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% |
1505
280.0 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.8 IPS |
|
|
Image Classification (Q)
|
99% |
4863
907.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
544
8.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
1840
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2502
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2140
2.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
12040
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.5 IPS |
|
|
Object Detection (HP)
|
100% |
433
34.4 IPS |
|
|
Object Detection (Q)
|
86% |
3706
297.8 IPS |
|
|
Face Detection (SP)
|
100% |
3410
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
6815
81.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3548
27.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1276
9.83 IPS |
|
|
Depth Estimation (Q)
|
78% |
9896
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6352
8.17 IPS |
|
|
Style Transfer (HP)
|
100% |
5408
6.95 IPS |
|
|
Style Transfer (Q)
|
98% |
15020
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1296
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1070
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2700
100.0 IPS |
|
|
Text Classification (SP)
|
100% |
1146
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
632
842.9 IPS |
|
|
Text Classification (Q)
|
97% |
415
555.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1569
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (Q)
|
65% |
2267
45.5 IPS |
