Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2313
Single Precision Score
2331
Half Precision Score
6103
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | November 01 2024 03:20 AM |
| Views | 10 |
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% |
1454
270.4 IPS |
|
|
Image Classification (HP)
|
100% |
1492
277.5 IPS |
|
|
Image Classification (Q)
|
100% |
4202
781.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3692
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2608
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2626
3.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
10078
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.2 IPS |
|
|
Object Detection (HP)
|
100% |
1314
104.2 IPS |
|
|
Object Detection (Q)
|
88% |
4078
326.9 IPS |
|
|
Face Detection (SP)
|
100% |
3823
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
3852
45.8 IPS |
|
|
Face Detection (Q)
|
100% |
10410
123.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3365
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3486
26.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
10159
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6964
8.95 IPS |
|
|
Style Transfer (HP)
|
100% |
7118
9.15 IPS |
|
|
Style Transfer (Q)
|
98% |
26791
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5820
215.5 IPS |
|
|
Text Classification (SP)
|
100% |
1630
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1577
2.11 KIPS |
|
|
Text Classification (Q)
|
92% |
3019
4.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2325
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2346
40.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2259
38.9 IPS |
