iPhone 13 Pro Max
Geekbench AI Score
2618
Single Precision Score
4342
Half Precision Score
4019
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | StevensPCService |
| Upload Date | September 16 2025 02:18 PM |
| Views | 7 |
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% |
1264
235.0 IPS |
|
|
Image Classification (HP)
|
100% |
2411
448.3 IPS |
|
|
Image Classification (Q)
|
96% |
1657
309.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
877
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2016
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4809
5.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
8223
9.60 IPS |
|
|
Pose Estimation (Q)
|
95% |
10656
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1192
94.5 IPS |
|
|
Object Detection (HP)
|
97% |
1688
134.4 IPS |
|
|
Object Detection (Q)
|
94% |
1835
146.2 IPS |
|
|
Face Detection (SP)
|
100% |
2458
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
4401
52.3 IPS |
|
|
Face Detection (Q)
|
100% |
2943
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4738
36.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9560
73.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
4810
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14242
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24792
31.9 IPS |
|
|
Style Transfer (Q)
|
96% |
17177
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2103
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3421
126.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2997
110.7 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3424
4.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4291
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2940
50.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3786
65.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5383
93.0 IPS |
