Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2544
Single Precision Score
2528
Half Precision Score
6677
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | November 14 2024 07:36 PM |
| Views | 1 |
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% |
1695
315.1 IPS |
|
|
Image Classification (HP)
|
100% |
1628
302.7 IPS |
|
|
Image Classification (Q)
|
100% |
4748
883.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1829
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1837
29.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4310
69.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2908
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2847
3.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
10990
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.6 IPS |
|
|
Object Detection (HP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (Q)
|
88% |
4434
355.4 IPS |
|
|
Face Detection (SP)
|
100% |
4037
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
4248
50.5 IPS |
|
|
Face Detection (Q)
|
100% |
10586
125.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3686
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3726
28.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
11024
85.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7652
9.84 IPS |
|
|
Style Transfer (HP)
|
100% |
7679
9.87 IPS |
|
|
Style Transfer (Q)
|
98% |
29096
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1667
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1589
58.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6044
223.8 IPS |
|
|
Text Classification (SP)
|
100% |
1796
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1769
2.36 KIPS |
|
|
Text Classification (Q)
|
92% |
3515
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2565
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2603
44.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2449
42.2 IPS |
