iPhone 13 Pro
Geekbench AI Score
3141
Single Precision Score
5776
Half Precision Score
4680
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 06:39 PM |
| 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 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1275
237.1 IPS |
|
|
Image Classification (HP)
|
100% |
2426
451.2 IPS |
|
|
Image Classification (Q)
|
96% |
1684
314.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1996
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2453
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6002
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14400
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12190
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1306
103.6 IPS |
|
|
Object Detection (HP)
|
97% |
2726
217.0 IPS |
|
|
Object Detection (Q)
|
94% |
1975
157.4 IPS |
|
|
Face Detection (SP)
|
100% |
2633
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5601
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3111
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5035
38.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10194
78.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7215
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16736
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27002
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22118
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3671
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5046
186.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3688
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
2611
3.49 KIPS |
|
|
Text Classification (HP)
|
99% |
4227
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4196
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6621
114.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6610
114.2 IPS |
