iPhone 13 Pro Max
Geekbench AI Score
3133
Single Precision Score
5763
Half Precision Score
4681
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 02 2025 11:01 PM |
| Views | 4 |
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% |
1262
234.6 IPS |
|
|
Image Classification (HP)
|
100% |
2427
451.3 IPS |
|
|
Image Classification (Q)
|
96% |
1673
312.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2445
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5946
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
14356
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12045
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1338
106.1 IPS |
|
|
Object Detection (HP)
|
97% |
2743
218.4 IPS |
|
|
Object Detection (Q)
|
94% |
1969
156.9 IPS |
|
|
Face Detection (SP)
|
100% |
2620
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
5617
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
3175
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5234
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10544
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7446
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16510
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27126
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22133
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3622
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4836
178.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3653
134.9 IPS |
|
|
Text Classification (SP)
|
100% |
2592
3.46 KIPS |
|
|
Text Classification (HP)
|
99% |
4233
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4215
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3405
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6564
113.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6473
111.9 IPS |
