iPhone 13
Geekbench AI Score
2958
Single Precision Score
3226
Half Precision Score
3073
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Testify |
| Upload Date | August 30 2025 12:13 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
765
142.3 IPS |
|
|
Image Classification (HP)
|
100% |
914
170.0 IPS |
|
|
Image Classification (Q)
|
96% |
793
148.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2234
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9204
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10275
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9902
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1110
88.0 IPS |
|
|
Object Detection (HP)
|
100% |
786
62.3 IPS |
|
|
Object Detection (Q)
|
92% |
862
68.8 IPS |
|
|
Face Detection (SP)
|
100% |
4078
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
4927
58.5 IPS |
|
|
Face Detection (Q)
|
100% |
4263
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7553
58.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8172
63.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
7427
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16557
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19372
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18693
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2796
103.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2865
105.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2629
97.1 IPS |
|
|
Text Classification (SP)
|
100% |
2416
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4253
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4267
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
742
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
749
12.9 IPS |
