Win element M600
Geekbench AI Score
4965
Single Precision Score
4841
Half Precision Score
12077
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SAI9 |
| Upload Date | April 22 2025 09:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Win element M600 |
| Motherboard | Win element M600 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2819
524.2 IPS |
|
|
Image Classification (HP)
|
100% |
2892
537.8 IPS |
|
|
Image Classification (Q)
|
100% |
6103
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3163
51.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3176
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8991
145.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7542
8.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
7812
9.12 IPS |
|
|
Pose Estimation (Q)
|
98% |
31322
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
2896
229.7 IPS |
|
|
Object Detection (HP)
|
100% |
2950
234.0 IPS |
|
|
Object Detection (Q)
|
88% |
6331
507.5 IPS |
|
|
Face Detection (SP)
|
100% |
6555
77.9 IPS |
|
|
Face Detection (HP)
|
100% |
6467
76.8 IPS |
|
|
Face Detection (Q)
|
100% |
18227
216.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8819
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8799
67.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
20097
156.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21048
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21810
28.0 IPS |
|
|
Style Transfer (Q)
|
98% |
80423
103.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4202
155.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4157
153.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10958
405.8 IPS |
|
|
Text Classification (SP)
|
100% |
2680
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2648
3.53 KIPS |
|
|
Text Classification (Q)
|
92% |
4403
5.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3417
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2449
42.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4270
73.6 IPS |
