iPhone 13 Pro Max
Geekbench AI Score
3127
Single Precision Score
5748
Half Precision Score
4668
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 15 2025 11:21 AM |
| Views | 3 |
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% |
1260
234.4 IPS |
|
|
Image Classification (HP)
|
100% |
2423
450.6 IPS |
|
|
Image Classification (Q)
|
96% |
1679
313.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2429
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5902
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
14412
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11896
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1336
106.0 IPS |
|
|
Object Detection (HP)
|
97% |
2734
217.7 IPS |
|
|
Object Detection (Q)
|
94% |
1974
157.4 IPS |
|
|
Face Detection (SP)
|
100% |
2587
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
5549
65.9 IPS |
|
|
Face Detection (Q)
|
100% |
3159
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5196
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10545
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7429
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16703
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26648
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22017
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3577
132.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4770
176.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3671
135.5 IPS |
|
|
Text Classification (SP)
|
100% |
2586
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4184
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4100
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3472
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6773
117.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6597
114.0 IPS |
