iPhone 13 Pro Max
Geekbench AI Score
3152
Single Precision Score
5758
Half Precision Score
4714
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | bmalzahrani |
| Upload Date | April 17 2026 01:02 PM |
| Views | 20 |
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% |
1271
236.5 IPS |
|
|
Image Classification (HP)
|
100% |
2418
449.6 IPS |
|
|
Image Classification (Q)
|
96% |
1676
313.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2454
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6077
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
14535
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12275
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1332
105.6 IPS |
|
|
Object Detection (HP)
|
97% |
2743
218.4 IPS |
|
|
Object Detection (Q)
|
94% |
1969
157.0 IPS |
|
|
Face Detection (SP)
|
100% |
2641
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5677
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3206
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5091
39.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10475
81.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7414
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16950
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27076
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22473
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3612
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4754
175.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3684
136.0 IPS |
|
|
Text Classification (SP)
|
100% |
2599
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4176
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4179
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3496
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6648
114.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6636
114.7 IPS |
