iPhone 13
Geekbench AI Score
2527
Single Precision Score
14991
Half Precision Score
16468
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 18 2025 08:42 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1337
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
7911
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
9991
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1268
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10354
167.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12423
201.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4398
5.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
69715
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
60416
70.8 IPS |
|
|
Object Detection (SP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (HP)
|
99% |
10306
819.8 IPS |
|
|
Object Detection (Q)
|
91% |
12140
970.0 IPS |
|
|
Face Detection (SP)
|
100% |
2592
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
16160
192.0 IPS |
|
|
Face Detection (Q)
|
100% |
23529
279.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3408
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34180
263.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
44434
347.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10059
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
127481
163.9 IPS |
|
|
Style Transfer (Q)
|
96% |
124862
161.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2896
106.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24333
898.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17730
654.7 IPS |
|
|
Text Classification (SP)
|
100% |
2073
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1194
1.59 KIPS |
|
|
Text Classification (Q)
|
93% |
1234
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1913
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4763
82.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5645
97.6 IPS |
