iPhone 13
Geekbench AI Score
3258
Single Precision Score
19797
Half Precision Score
22476
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 05 2025 08:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
9155
1.70 KIPS |
|
|
Image Classification (Q)
|
96% |
10268
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12531
203.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13528
219.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6404
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
86201
100.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
94155
110.4 IPS |
|
|
Object Detection (SP)
|
100% |
1439
114.2 IPS |
|
|
Object Detection (HP)
|
99% |
10504
835.6 IPS |
|
|
Object Detection (Q)
|
91% |
11894
950.3 IPS |
|
|
Face Detection (SP)
|
100% |
2754
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
25676
305.1 IPS |
|
|
Face Detection (Q)
|
100% |
33745
401.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5365
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51990
400.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
78456
613.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17288
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
164012
210.8 IPS |
|
|
Style Transfer (Q)
|
96% |
163387
210.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3804
140.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27134
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28714
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2262
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3466
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6603
113.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7529
130.1 IPS |
