Micro-Star International Co., Ltd. Cyborg 15 A13VF
Geekbench AI Score
2952
Single Precision Score
1355
Half Precision Score
3803
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 09:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13620H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Cyborg 15 A13VF |
| Motherboard | Micro-Star International Co., Ltd. MS-15K1 |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1541
286.6 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.2 IPS |
|
|
Image Classification (Q)
|
99% |
3220
600.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
992
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2435
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5471
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
3778
4.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
18356
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
1945
154.3 IPS |
|
|
Object Detection (HP)
|
100% |
602
47.8 IPS |
|
|
Object Detection (Q)
|
88% |
1906
152.8 IPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
1491
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
3889
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6153
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1951
15.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
7359
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12769
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9128
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19299
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2367
87.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1832
67.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3763
139.4 IPS |
|
|
Text Classification (SP)
|
100% |
1640
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
632
843.7 IPS |
|
|
Text Classification (Q)
|
97% |
531
710.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1881
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2094
46.7 IPS |
