iPhone 13
Geekbench AI Score
3043
Single Precision Score
5462
Half Precision Score
4549
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 08:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1269
235.9 IPS |
|
|
Image Classification (HP)
|
100% |
2412
448.6 IPS |
|
|
Image Classification (Q)
|
96% |
1681
313.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2406
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5574
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
13500
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11306
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1243
98.6 IPS |
|
|
Object Detection (HP)
|
97% |
2598
206.8 IPS |
|
|
Object Detection (Q)
|
94% |
1876
149.5 IPS |
|
|
Face Detection (SP)
|
100% |
2639
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5399
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3006
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4948
38.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10403
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7282
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15632
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25797
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21239
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3452
127.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4689
173.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3573
131.9 IPS |
|
|
Text Classification (SP)
|
100% |
2550
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4238
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4231
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3355
57.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6368
110.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6302
108.9 IPS |
