Micro-Star International Co., Ltd. Alpha 15 B5EEK
Geekbench AI Score
9528
Single Precision Score
8618
Half Precision Score
6716
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ssssssss |
| Upload Date | November 26 2024 10:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. Alpha 15 B5EEK |
| Motherboard | Micro-Star International Co., Ltd. MS-158L |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4166
774.8 IPS |
|
|
Image Classification (HP)
|
100% |
2460
457.4 IPS |
|
|
Image Classification (Q)
|
100% |
3440
639.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7171
116.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5580
90.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6173
100.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
60709
70.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
92123
107.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
52986
62.1 IPS |
|
|
Object Detection (SP)
|
100% |
4070
322.9 IPS |
|
|
Object Detection (HP)
|
100% |
4196
332.8 IPS |
|
|
Object Detection (Q)
|
89% |
3329
266.4 IPS |
|
|
Face Detection (SP)
|
100% |
12948
153.8 IPS |
|
|
Face Detection (HP)
|
100% |
14410
171.2 IPS |
|
|
Face Detection (Q)
|
97% |
9992
119.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25569
197.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
25678
197.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
19862
160.2 IPS |
|
|
Style Transfer (SP)
|
100% |
107292
137.9 IPS |
|
|
Style Transfer (HP)
|
100% |
141443
181.8 IPS |
|
|
Style Transfer (Q)
|
98% |
91663
118.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15839
584.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17099
631.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11273
417.4 IPS |
|
|
Text Classification (SP)
|
100% |
759
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
495
660.2 IPS |
|
|
Text Classification (Q)
|
97% |
376
503.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1957
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (Q)
|
60% |
647
14.4 IPS |
