iPhone 13
Geekbench AI Score
2930
Single Precision Score
3237
Half Precision Score
3102
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | September 30 2025 10:36 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
668
124.2 IPS |
|
|
Image Classification (HP)
|
100% |
617
114.7 IPS |
|
|
Image Classification (Q)
|
96% |
865
161.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2237
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9242
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10316
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9990
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1122
89.0 IPS |
|
|
Object Detection (HP)
|
100% |
1032
81.8 IPS |
|
|
Object Detection (Q)
|
92% |
1008
80.4 IPS |
|
|
Face Detection (SP)
|
100% |
4285
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
5075
60.3 IPS |
|
|
Face Detection (Q)
|
100% |
4165
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6887
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7812
60.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6440
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16502
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19379
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19199
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2891
106.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2993
110.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2594
95.8 IPS |
|
|
Text Classification (SP)
|
100% |
2508
3.35 KIPS |
|
|
Text Classification (HP)
|
99% |
4139
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4119
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
770
13.3 IPS |
