Samsung Galaxy S23 Plus
Geekbench AI Score
850
Single Precision Score
1122
Half Precision Score
1093
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | michaelyelavich |
| Upload Date | October 10 2024 04:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 Plus |
| Model ID | samsung SM-S916W |
| 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% |
662
123.1 IPS |
|
|
Image Classification (HP)
|
100% |
931
173.1 IPS |
|
|
Image Classification (Q)
|
96% |
814
152.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1078
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
988
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1439
1.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1428
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (HP)
|
100% |
649
51.5 IPS |
|
|
Object Detection (Q)
|
87% |
796
63.9 IPS |
|
|
Face Detection (SP)
|
100% |
2268
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (Q)
|
97% |
2656
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1516
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2889
22.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2383
22.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3864
4.97 IPS |
|
|
Style Transfer (HP)
|
100% |
8752
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8444
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
456
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
375
13.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
374
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.6 IPS |
|
|
Text Classification (HP)
|
100% |
224
299.0 IPS |
|
|
Text Classification (Q)
|
91% |
374
502.3 IPS |
|
|
Machine Translation (SP)
|
100% |
400
6.90 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.94 IPS |
|
|
Machine Translation (Q)
|
57% |
329
8.05 IPS |
