iPhone 13
Geekbench AI Score
3116
Single Precision Score
5729
Half Precision Score
4628
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 20 2026 03:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1266
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
2429
451.7 IPS |
|
|
Image Classification (Q)
|
96% |
1685
314.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2004
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2459
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5911
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
13781
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11638
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.2 IPS |
|
|
Object Detection (HP)
|
97% |
2680
213.4 IPS |
|
|
Object Detection (Q)
|
94% |
1894
151.0 IPS |
|
|
Face Detection (SP)
|
100% |
2668
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5483
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3110
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5044
38.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10633
82.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7326
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16129
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26308
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21672
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3572
131.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4833
178.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3569
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
2578
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4350
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4310
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3385
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6571
113.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6507
112.4 IPS |
