iPhone 13 Pro Max
Geekbench AI Score
3172
Single Precision Score
5777
Half Precision Score
4706
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | bmalzahrani |
| Upload Date | April 17 2026 11:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
1267
235.7 IPS |
|
|
Image Classification (HP)
|
100% |
2425
451.0 IPS |
|
|
Image Classification (Q)
|
96% |
1672
312.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2457
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6099
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
14535
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12102
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1352
107.2 IPS |
|
|
Object Detection (HP)
|
97% |
2755
219.4 IPS |
|
|
Object Detection (Q)
|
94% |
1981
157.9 IPS |
|
|
Face Detection (SP)
|
100% |
2653
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
5735
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
3215
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5216
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10639
82.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7460
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17476
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27566
35.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22499
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3612
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4723
174.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3694
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
2597
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4060
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4044
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3469
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6729
116.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6720
116.1 IPS |
