Samsung Galaxy S23 Ultra
Geekbench AI Score
1948
Single Precision Score
2053
Half Precision Score
3152
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Leomotors |
| Upload Date | August 19 2024 07:01 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S918B |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1397
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
1814
337.3 IPS |
|
|
Image Classification (Q)
|
100% |
2043
380.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3123
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2803
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2809
3.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
6212
7.37 IPS |
|
|
Object Detection (SP)
|
98% |
1413
112.5 IPS |
|
|
Object Detection (HP)
|
98% |
1571
125.0 IPS |
|
|
Object Detection (Q)
|
87% |
2417
194.1 IPS |
|
|
Face Detection (SP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
3080
36.6 IPS |
|
|
Face Detection (Q)
|
95% |
5319
63.5 IPS |
|
|
Depth Estimation (SP)
|
98% |
2737
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2989
23.1 IPS |
|
|
Depth Estimation (Q)
|
75% |
5467
44.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6889
8.94 IPS |
|
|
Style Transfer (HP)
|
89% |
6893
8.95 IPS |
|
|
Style Transfer (Q)
|
98% |
12960
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1491
55.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1484
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3339
123.7 IPS |
|
|
Text Classification (SP)
|
100% |
660
881.4 IPS |
|
|
Text Classification (HP)
|
99% |
657
876.3 IPS |
|
|
Text Classification (Q)
|
88% |
1009
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1517
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1478
25.5 IPS |
|
|
Machine Translation (Q)
|
50% |
798
28.3 IPS |
