SLIMBOOK PROX15-AMD
Geekbench AI Score
1456
Single Precision Score
1450
Half Precision Score
1103
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | SteBar |
| Upload Date | January 14 2025 02:28 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 4800H |
| System Information | |
|---|---|
| Operating System | openSUSE Tumbleweed |
| Model | SLIMBOOK PROX15-AMD |
| Motherboard | SLIMBOOK PROX15-AMD |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1266
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
1231
228.9 IPS |
|
|
Image Classification (Q)
|
99% |
780
145.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
831
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1877
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1873
2.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
2205
2.58 IPS |
|
|
Object Detection (SP)
|
100% |
1048
83.1 IPS |
|
|
Object Detection (HP)
|
100% |
1044
82.8 IPS |
|
|
Object Detection (Q)
|
85% |
707
56.9 IPS |
|
|
Face Detection (SP)
|
100% |
1580
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1578
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
1723
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1607
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1604
12.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1446
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2121
2.73 IPS |
|
|
Style Transfer (HP)
|
100% |
2133
2.74 IPS |
|
|
Style Transfer (Q)
|
98% |
3844
4.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1020
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1019
37.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1153
42.7 IPS |
|
|
Text Classification (SP)
|
100% |
1365
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1380
1.84 KIPS |
|
|
Text Classification (Q)
|
92% |
560
752.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1683
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1681
29.0 IPS |
|
|
Machine Translation (Q)
|
58% |
428
10.0 IPS |
