iPhone 13 Pro
Geekbench AI Score
3102
Single Precision Score
19233
Half Precision Score
21366
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1247
232.0 IPS |
|
|
Image Classification (HP)
|
100% |
7951
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
9769
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1237
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11853
192.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13140
213.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5437
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
80642
94.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
82869
97.1 IPS |
|
|
Object Detection (SP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (HP)
|
99% |
10166
808.7 IPS |
|
|
Object Detection (Q)
|
91% |
11877
949.1 IPS |
|
|
Face Detection (SP)
|
100% |
2529
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
25637
304.6 IPS |
|
|
Face Detection (Q)
|
100% |
31833
378.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5224
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
54886
422.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
65627
512.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16746
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
148260
190.6 IPS |
|
|
Style Transfer (Q)
|
96% |
146878
189.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3681
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29736
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28410
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2632
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2429
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2513
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3502
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5950
102.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7164
123.8 IPS |
