iPhone 13
Geekbench AI Score
2876
Single Precision Score
3363
Half Precision Score
2956
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 08 2025 08:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
544
101.2 IPS |
|
|
Image Classification (HP)
|
100% |
830
154.3 IPS |
|
|
Image Classification (Q)
|
96% |
651
121.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2256
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9324
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10519
12.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
10140
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1217
96.6 IPS |
|
|
Object Detection (HP)
|
100% |
1011
80.2 IPS |
|
|
Object Detection (Q)
|
92% |
714
57.0 IPS |
|
|
Face Detection (SP)
|
100% |
4266
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
5266
62.6 IPS |
|
|
Face Detection (Q)
|
100% |
3979
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7557
58.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8224
63.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
7137
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16603
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19448
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18575
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2808
103.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2789
103.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2479
91.6 IPS |
|
|
Text Classification (SP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4228
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4305
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
851
14.7 IPS |
