Micro-Star International Co., Ltd. Katana GF66 12UE
Geekbench AI Score
4902
Single Precision Score
6677
Half Precision Score
10197
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 04:04 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
3151
586.0 IPS |
|
|
Image Classification (HP)
|
100% |
4877
906.9 IPS |
|
|
Image Classification (Q)
|
99% |
6228
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4529
73.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7284
118.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8557
138.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10867
12.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
7941
9.27 IPS |
|
|
Pose Estimation (Q)
|
97% |
32264
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
2925
232.0 IPS |
|
|
Object Detection (HP)
|
100% |
4222
334.9 IPS |
|
|
Object Detection (Q)
|
90% |
7448
595.5 IPS |
|
|
Face Detection (SP)
|
100% |
7237
86.0 IPS |
|
|
Face Detection (HP)
|
100% |
11531
137.0 IPS |
|
|
Face Detection (Q)
|
100% |
16209
192.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10491
80.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
16000
123.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
20809
161.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27544
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37640
48.4 IPS |
|
|
Style Transfer (Q)
|
98% |
74361
95.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4557
168.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7177
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12939
479.2 IPS |
|
|
Text Classification (SP)
|
71% |
1264
1.83 KIPS |
|
|
Text Classification (HP)
|
71% |
1436
2.08 KIPS |
|
|
Text Classification (Q)
|
92% |
1431
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1469
25.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2067
35.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2045
35.2 IPS |
