SAPPHIRE SAPPHIRE PULSE B850MP WIFI
Geekbench AI Score
6566
Single Precision Score
6509
Half Precision Score
18269
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 07 2025 02:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAPPHIRE SAPPHIRE PULSE B850MP WIFI |
| Motherboard | SAPPHIRE SAPPHIRE PULSE B850MP WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4359
810.7 IPS |
|
|
Image Classification (HP)
|
100% |
4360
810.8 IPS |
|
|
Image Classification (Q)
|
100% |
12338
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4419
71.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4489
72.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13010
210.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8404
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
7776
9.07 IPS |
|
|
Pose Estimation (Q)
|
98% |
33316
39.0 IPS |
|
|
Object Detection (SP)
|
100% |
3836
304.2 IPS |
|
|
Object Detection (HP)
|
100% |
3843
304.9 IPS |
|
|
Object Detection (Q)
|
88% |
12449
998.0 IPS |
|
|
Face Detection (SP)
|
100% |
8356
99.3 IPS |
|
|
Face Detection (HP)
|
100% |
8183
97.2 IPS |
|
|
Face Detection (Q)
|
100% |
29199
346.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10531
81.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10499
80.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
30571
237.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22860
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23060
29.6 IPS |
|
|
Style Transfer (Q)
|
98% |
87119
112.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4945
182.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4629
170.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16842
623.7 IPS |
|
|
Text Classification (SP)
|
100% |
4056
5.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4147
5.54 KIPS |
|
|
Text Classification (Q)
|
92% |
5734
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5950
102.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6142
105.8 IPS |
|
|
Machine Translation (Q)
|
100% |
8285
142.7 IPS |
