Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2361
Single Precision Score
2380
Half Precision Score
6372
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 03 2025 06:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz |
| 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% |
1550
288.2 IPS |
|
|
Image Classification (HP)
|
100% |
1470
273.4 IPS |
|
|
Image Classification (Q)
|
100% |
4119
766.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4066
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2614
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2611
3.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
9987
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (HP)
|
100% |
1367
108.4 IPS |
|
|
Object Detection (Q)
|
88% |
4680
375.2 IPS |
|
|
Face Detection (SP)
|
100% |
3713
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
3802
45.2 IPS |
|
|
Face Detection (Q)
|
100% |
11310
134.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3352
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3333
25.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
9798
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7033
9.04 IPS |
|
|
Style Transfer (HP)
|
100% |
7136
9.17 IPS |
|
|
Style Transfer (Q)
|
98% |
27321
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1637
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5929
219.6 IPS |
|
|
Text Classification (SP)
|
100% |
1553
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1512
2.02 KIPS |
|
|
Text Classification (Q)
|
92% |
3199
4.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2534
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2624
45.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2455
42.3 IPS |
