iPhone 13 Pro Max
Geekbench AI Score
3143
Single Precision Score
5778
Half Precision Score
4714
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 04:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1265
235.2 IPS |
|
|
Image Classification (HP)
|
100% |
2425
450.9 IPS |
|
|
Image Classification (Q)
|
96% |
1674
312.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2457
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6055
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
14558
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12185
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1323
104.9 IPS |
|
|
Object Detection (HP)
|
97% |
2756
219.4 IPS |
|
|
Object Detection (Q)
|
94% |
1979
157.8 IPS |
|
|
Face Detection (SP)
|
100% |
2602
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
5683
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3223
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5144
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10636
82.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7446
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17111
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27411
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22584
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3610
133.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4751
175.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3694
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
2570
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4171
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4129
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3494
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6643
114.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6615
114.3 IPS |
