Micro-Star International Co., Ltd. Pulse 15 B13VFK
Geekbench AI Score
16601
Single Precision Score
28270
Half Precision Score
12915
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 01:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Micro-Star International Co., Ltd. Pulse 15 B13VFK |
| Motherboard | Micro-Star International Co., Ltd. MS-1585 |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6292
1.17 KIPS |
|
|
Image Classification (HP)
|
99% |
11017
2.05 KIPS |
|
|
Image Classification (Q)
|
99% |
5825
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11981
194.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16620
269.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10889
177.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
86473
100.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
230918
269.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
76278
89.4 IPS |
|
|
Object Detection (SP)
|
100% |
7953
630.8 IPS |
|
|
Object Detection (HP)
|
100% |
14847
1.18 KIPS |
|
|
Object Detection (Q)
|
84% |
6948
560.4 IPS |
|
|
Face Detection (SP)
|
100% |
20219
240.2 IPS |
|
|
Face Detection (HP)
|
100% |
32089
381.3 IPS |
|
|
Face Detection (Q)
|
97% |
18226
217.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
36141
278.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
75542
582.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
29902
239.2 IPS |
|
|
Style Transfer (SP)
|
100% |
135602
174.3 IPS |
|
|
Style Transfer (HP)
|
100% |
338887
435.6 IPS |
|
|
Style Transfer (Q)
|
98% |
123442
159.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26224
968.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41952
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19703
729.6 IPS |
|
|
Text Classification (SP)
|
100% |
3176
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
3760
5.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1628
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3716
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4009
69.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1781
33.4 IPS |
