iPhone 13
Geekbench AI Score
2894
Single Precision Score
5329
Half Precision Score
4311
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1229
228.6 IPS |
|
|
Image Classification (HP)
|
100% |
2381
442.7 IPS |
|
|
Image Classification (Q)
|
96% |
1638
305.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1233
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1861
30.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2316
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5057
5.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
12144
14.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10327
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1202
95.4 IPS |
|
|
Object Detection (HP)
|
97% |
2503
199.3 IPS |
|
|
Object Detection (Q)
|
94% |
1772
141.3 IPS |
|
|
Face Detection (SP)
|
100% |
2498
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
5125
60.9 IPS |
|
|
Face Detection (Q)
|
100% |
2845
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4672
36.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9941
76.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6696
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14610
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24128
31.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19831
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3286
121.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4489
165.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3383
124.9 IPS |
|
|
Text Classification (SP)
|
100% |
2476
3.30 KIPS |
|
|
Text Classification (HP)
|
99% |
4055
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4045
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3230
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6130
105.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6182
106.8 IPS |
