Samsung Galaxy S24 Ultra
Geekbench AI Score
514
Single Precision Score
16650
Half Precision Score
39732
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Cho_Seung_Woo |
| Upload Date | September 15 2024 04:43 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928N |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
313
58.2 IPS |
|
|
Image Classification (HP)
|
100% |
18604
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
43382
8.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
11152
180.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
29646
482.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
545
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
100880
117.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
399507
467.6 IPS |
|
|
Object Detection (SP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (HP)
|
100% |
16559
1.31 KIPS |
|
|
Object Detection (Q)
|
86% |
19597
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
766
9.11 IPS |
|
|
Face Detection (HP)
|
100% |
36183
429.9 IPS |
|
|
Face Detection (Q)
|
97% |
130426
1.56 KIPS |
|
|
Depth Estimation (SP)
|
100% |
669
5.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
62629
482.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
117910
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
1055
1.36 IPS |
|
|
Style Transfer (HP)
|
24% |
3866
117.0 IPS |
|
|
Style Transfer (Q)
|
98% |
306429
395.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
353
13.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46218
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
105261
3.90 KIPS |
|
|
Text Classification (SP)
|
100% |
450
600.8 IPS |
|
|
Text Classification (HP)
|
100% |
3113
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6747
9.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3749
64.6 IPS |
|
|
Machine Translation (Q)
|
30% |
291
58.3 IPS |
