iPhone 13 Pro Max
Geekbench AI Score
3119
Single Precision Score
20465
Half Precision Score
22419
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | StevensPCService |
| Upload Date | September 16 2025 02:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1272
236.6 IPS |
|
|
Image Classification (HP)
|
100% |
9202
1.71 KIPS |
|
|
Image Classification (Q)
|
96% |
10491
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12968
210.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14748
239.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5803
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
82096
95.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
80687
94.6 IPS |
|
|
Object Detection (SP)
|
100% |
1299
103.1 IPS |
|
|
Object Detection (HP)
|
99% |
11201
891.0 IPS |
|
|
Object Detection (Q)
|
91% |
12221
976.5 IPS |
|
|
Face Detection (SP)
|
100% |
2605
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
26427
314.0 IPS |
|
|
Face Detection (Q)
|
100% |
33199
394.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5155
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
59159
455.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
78108
610.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16992
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
152952
196.6 IPS |
|
|
Style Transfer (Q)
|
96% |
146059
188.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3631
134.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31613
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29771
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2569
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2490
3.32 KIPS |
|
|
Text Classification (Q)
|
93% |
2567
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3421
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6241
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7265
125.5 IPS |
