iPhone 13
Geekbench AI Score
3040
Single Precision Score
5433
Half Precision Score
4397
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 24 2025 03:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1238
230.3 IPS |
|
|
Image Classification (HP)
|
100% |
2276
423.3 IPS |
|
|
Image Classification (Q)
|
96% |
1593
297.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1243
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1859
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2242
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5277
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
12716
14.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
10677
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1338
106.1 IPS |
|
|
Object Detection (HP)
|
97% |
2519
200.6 IPS |
|
|
Object Detection (Q)
|
94% |
1821
145.1 IPS |
|
|
Face Detection (SP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
5221
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
2925
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4899
37.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10059
77.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6909
54.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15420
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26088
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21161
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3540
130.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4678
172.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3461
127.8 IPS |
|
|
Text Classification (SP)
|
100% |
2570
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4199
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4239
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3509
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6147
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6203
107.2 IPS |
