iPhone 13
Geekbench AI Score
3183
Single Precision Score
19527
Half Precision Score
22280
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 16 2026 03:00 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1273
236.7 IPS |
|
|
Image Classification (HP)
|
100% |
7236
1.35 KIPS |
|
|
Image Classification (Q)
|
96% |
10022
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13382
216.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
15697
254.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6035
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
81495
95.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
93970
110.1 IPS |
|
|
Object Detection (SP)
|
100% |
1356
107.6 IPS |
|
|
Object Detection (HP)
|
99% |
10562
840.2 IPS |
|
|
Object Detection (Q)
|
91% |
11990
958.1 IPS |
|
|
Face Detection (SP)
|
100% |
2781
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
28434
337.9 IPS |
|
|
Face Detection (Q)
|
100% |
36044
428.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5256
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
55830
430.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
66687
521.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17117
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
150123
193.0 IPS |
|
|
Style Transfer (Q)
|
96% |
149873
193.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29720
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28733
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2507
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2195
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2277
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3499
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6223
107.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7216
124.7 IPS |
