iPhone 13 Pro Max
Geekbench AI Score
3257
Single Precision Score
5769
Half Precision Score
4709
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 23 2025 11:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1356
252.2 IPS |
|
|
Image Classification (HP)
|
100% |
2436
453.1 IPS |
|
|
Image Classification (Q)
|
96% |
1676
313.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2446
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6479
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14407
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12230
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
97% |
2744
218.5 IPS |
|
|
Object Detection (Q)
|
94% |
1934
154.2 IPS |
|
|
Face Detection (SP)
|
100% |
2639
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5633
66.9 IPS |
|
|
Face Detection (Q)
|
100% |
3147
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5311
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10444
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7447
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16761
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27638
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22706
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3765
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4735
174.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3676
135.7 IPS |
|
|
Text Classification (SP)
|
100% |
2622
3.50 KIPS |
|
|
Text Classification (HP)
|
99% |
4271
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4249
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3693
63.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6584
113.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6665
115.2 IPS |
