Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2318
Single Precision Score
3317
Half Precision Score
5186
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 08:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1406
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
2349
436.8 IPS |
|
|
Image Classification (Q)
|
99% |
3612
673.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3532
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4155
67.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3797
4.43 IPS |
|
|
Pose Estimation (HP)
|
99% |
2783
3.25 IPS |
|
|
Pose Estimation (Q)
|
97% |
11439
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
98% |
2036
162.0 IPS |
|
|
Object Detection (Q)
|
90% |
3717
297.2 IPS |
|
|
Face Detection (SP)
|
100% |
4202
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
6766
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
8807
104.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4434
34.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
7549
58.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
10222
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9884
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15373
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26442
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1794
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2932
108.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5958
220.7 IPS |
|
|
Text Classification (SP)
|
71% |
955
1.38 KIPS |
|
|
Text Classification (HP)
|
71% |
1158
1.68 KIPS |
|
|
Text Classification (Q)
|
92% |
1203
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1287
22.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1294
22.3 IPS |
