Micro-Star International Co., Ltd. Katana GF66 12UE
Geekbench AI Score
3501
Single Precision Score
1274
Half Precision Score
5960
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 03:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana GF66 12UE |
| Motherboard | Micro-Star International Co., Ltd. MS-1583 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2791
519.1 IPS |
|
|
Image Classification (HP)
|
100% |
507
94.4 IPS |
|
|
Image Classification (Q)
|
99% |
5095
950.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3141
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5709
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3606
4.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
19061
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
2585
205.0 IPS |
|
|
Object Detection (HP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (Q)
|
86% |
5416
435.3 IPS |
|
|
Face Detection (SP)
|
100% |
6304
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
1395
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
8448
100.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7505
57.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1443
11.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
12921
103.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13634
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8319
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17421
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2452
90.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3861
143.0 IPS |
|
|
Text Classification (SP)
|
100% |
1421
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
663
884.4 IPS |
|
|
Text Classification (Q)
|
97% |
1546
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3019
60.7 IPS |
