Default string Default string
Geekbench AI Score
5822
Single Precision Score
6502
Half Precision Score
16489
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | February 28 2026 08:04 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3790
704.8 IPS |
|
|
Image Classification (HP)
|
100% |
3957
735.9 IPS |
|
|
Image Classification (Q)
|
100% |
13252
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3458
56.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4890
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9446
153.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9102
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8952
10.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
30068
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
3123
247.8 IPS |
|
|
Object Detection (HP)
|
100% |
3559
282.3 IPS |
|
|
Object Detection (Q)
|
88% |
11101
889.9 IPS |
|
|
Face Detection (SP)
|
100% |
8351
99.2 IPS |
|
|
Face Detection (HP)
|
100% |
9393
111.6 IPS |
|
|
Face Detection (Q)
|
100% |
28013
332.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8658
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9317
71.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
27221
211.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22658
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21611
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
75809
97.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4635
171.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5839
215.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17153
635.2 IPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
3633
4.85 KIPS |
|
|
Text Classification (Q)
|
92% |
5718
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4856
83.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5468
94.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6274
108.1 IPS |
