iPhone 13
Geekbench AI Score
3351
Single Precision Score
14240
Half Precision Score
16041
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Alvy_Aryandi |
| Upload Date | August 17 2024 12:26 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1361
253.0 IPS |
|
|
Image Classification (HP)
|
100% |
7866
1.46 KIPS |
|
|
Image Classification (Q)
|
99% |
7362
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6444
104.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
6680
108.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6618
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
82006
95.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
89317
104.8 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.2 IPS |
|
|
Object Detection (HP)
|
99% |
9208
732.5 IPS |
|
|
Object Detection (Q)
|
91% |
11086
885.8 IPS |
|
|
Face Detection (SP)
|
100% |
2871
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
17123
203.5 IPS |
|
|
Face Detection (Q)
|
100% |
28307
336.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5611
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
45572
351.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
52462
405.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17954
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
107098
137.7 IPS |
|
|
Style Transfer (Q)
|
100% |
108835
139.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3944
145.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26711
986.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
28524
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1730
2.31 KIPS |
|
|
Text Classification (Q)
|
93% |
2211
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3551
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2321
40.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2273
39.3 IPS |
