iPhone 13 Pro Max
Geekbench AI Score
3114
Single Precision Score
5736
Half Precision Score
4658
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 28 2025 09:49 PM |
| Views | 1 |
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 Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1266
235.4 IPS |
|
|
Image Classification (HP)
|
100% |
2428
451.6 IPS |
|
|
Image Classification (Q)
|
96% |
1674
312.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2428
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5863
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
14142
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11966
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1342
106.4 IPS |
|
|
Object Detection (HP)
|
97% |
2740
218.1 IPS |
|
|
Object Detection (Q)
|
94% |
1920
153.1 IPS |
|
|
Face Detection (SP)
|
100% |
2621
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
5593
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3138
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5118
39.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10413
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7282
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16604
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26735
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22263
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3549
131.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4939
182.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3649
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
2557
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4163
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4236
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6509
112.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6551
113.2 IPS |
