iPhone 13 Pro
Geekbench AI Score
3128
Single Precision Score
19604
Half Precision Score
22072
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 11 2026 04:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1264
235.1 IPS |
|
|
Image Classification (HP)
|
100% |
7537
1.40 KIPS |
|
|
Image Classification (Q)
|
96% |
10636
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12834
208.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12283
199.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5848
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
77738
90.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
91984
107.8 IPS |
|
|
Object Detection (SP)
|
100% |
1342
106.5 IPS |
|
|
Object Detection (HP)
|
99% |
10651
847.3 IPS |
|
|
Object Detection (Q)
|
91% |
11270
900.5 IPS |
|
|
Face Detection (SP)
|
100% |
2632
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
29235
347.4 IPS |
|
|
Face Detection (Q)
|
100% |
37682
447.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5173
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
56286
433.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
75766
592.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16878
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
149742
192.5 IPS |
|
|
Style Transfer (Q)
|
96% |
142503
183.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29347
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28172
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2488
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2447
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3463
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6163
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7225
124.9 IPS |
