iPhone 13
Geekbench AI Score
3235
Single Precision Score
5672
Half Precision Score
4561
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | StoneMan240 |
| Upload Date | September 07 2025 06:50 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1353
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
2347
436.6 IPS |
|
|
Image Classification (Q)
|
96% |
1614
301.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2433
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6310
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
14082
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11586
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (HP)
|
97% |
2695
214.5 IPS |
|
|
Object Detection (Q)
|
94% |
1899
151.4 IPS |
|
|
Face Detection (SP)
|
100% |
2745
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
5518
65.6 IPS |
|
|
Face Detection (Q)
|
100% |
3041
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5323
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10264
79.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7264
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16808
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27381
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22151
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3755
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4736
174.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3569
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4255
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4230
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3611
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6300
108.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6117
105.7 IPS |
