iPhone 13
Geekbench AI Score
2758
Single Precision Score
20391
Half Precision Score
22421
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 04:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1230
228.7 IPS |
|
|
Image Classification (HP)
|
100% |
9205
1.71 KIPS |
|
|
Image Classification (Q)
|
96% |
10917
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12064
195.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14713
238.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4840
5.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
81879
95.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
90151
105.7 IPS |
|
|
Object Detection (SP)
|
100% |
1152
91.4 IPS |
|
|
Object Detection (HP)
|
99% |
11408
907.5 IPS |
|
|
Object Detection (Q)
|
91% |
11445
914.5 IPS |
|
|
Face Detection (SP)
|
100% |
2441
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
28190
335.0 IPS |
|
|
Face Detection (Q)
|
100% |
36654
435.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4566
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
55477
427.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
73260
572.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11229
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
152908
196.6 IPS |
|
|
Style Transfer (Q)
|
96% |
137013
176.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3191
117.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29868
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28020
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2525
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
2526
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3138
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6644
114.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7441
128.6 IPS |
