iPhone 13 Pro Max
Geekbench AI Score
3090
Single Precision Score
19437
Half Precision Score
22660
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 02 2025 07:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1258
234.0 IPS |
|
|
Image Classification (HP)
|
100% |
7420
1.38 KIPS |
|
|
Image Classification (Q)
|
96% |
10567
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1235
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13226
214.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14662
237.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5766
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
78784
91.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
94417
110.7 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.1 IPS |
|
|
Object Detection (HP)
|
99% |
10497
835.0 IPS |
|
|
Object Detection (Q)
|
91% |
12480
997.2 IPS |
|
|
Face Detection (SP)
|
100% |
2562
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
27836
330.8 IPS |
|
|
Face Detection (Q)
|
100% |
36478
433.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5121
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
55240
425.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
77802
608.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16550
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
150064
192.9 IPS |
|
|
Style Transfer (Q)
|
96% |
141193
182.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3588
132.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28770
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29651
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2552
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2377
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3403
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6212
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6923
119.6 IPS |
