iPhone 13
Geekbench AI Score
3259
Single Precision Score
3748
Half Precision Score
3154
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 11:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1466
272.5 IPS |
|
|
Image Classification (HP)
|
100% |
1487
276.5 IPS |
|
|
Image Classification (Q)
|
96% |
1135
211.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1944
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9294
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10331
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9970
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1545
122.5 IPS |
|
|
Object Detection (HP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (Q)
|
92% |
1545
123.3 IPS |
|
|
Face Detection (SP)
|
100% |
3390
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
5088
60.5 IPS |
|
|
Face Detection (Q)
|
100% |
4082
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7353
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7691
59.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
2387
18.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12147
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15814
20.3 IPS |
|
|
Style Transfer (Q)
|
96% |
16281
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2941
108.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3483
128.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2586
95.5 IPS |
|
|
Text Classification (SP)
|
100% |
2510
3.35 KIPS |
|
|
Text Classification (HP)
|
99% |
4188
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4146
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1689
29.2 IPS |
