iPhone 13
Geekbench AI Score
3283
Single Precision Score
14630
Half Precision Score
16518
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Alvy_Aryandi |
| Upload Date | August 16 2024 05:02 AM |
| Views | 10 |
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% |
1371
254.9 IPS |
|
|
Image Classification (HP)
|
100% |
7741
1.44 KIPS |
|
|
Image Classification (Q)
|
99% |
9183
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1347
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6421
104.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
6550
106.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6418
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
81773
95.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
89406
104.9 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
99% |
9175
729.9 IPS |
|
|
Object Detection (Q)
|
91% |
11212
895.9 IPS |
|
|
Face Detection (SP)
|
100% |
2833
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
17608
209.2 IPS |
|
|
Face Detection (Q)
|
100% |
28129
334.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5225
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
48532
373.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
54507
421.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17312
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
107151
137.7 IPS |
|
|
Style Transfer (Q)
|
100% |
109530
140.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3837
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26296
971.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
29260
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2425
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2331
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2178
37.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2190
37.8 IPS |
