iPhone 13 Pro Max
Geekbench AI Score
3169
Single Precision Score
18043
Half Precision Score
20174
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 15 2025 11:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1258
234.0 IPS |
|
|
Image Classification (HP)
|
100% |
7401
1.38 KIPS |
|
|
Image Classification (Q)
|
96% |
8166
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12883
208.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14494
235.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6070
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
80455
93.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
83195
97.5 IPS |
|
|
Object Detection (SP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (HP)
|
99% |
10189
810.5 IPS |
|
|
Object Detection (Q)
|
91% |
11757
939.5 IPS |
|
|
Face Detection (SP)
|
100% |
2598
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
22646
269.1 IPS |
|
|
Face Detection (Q)
|
100% |
30130
358.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5267
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
55058
424.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
74621
583.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17477
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
147420
189.5 IPS |
|
|
Style Transfer (Q)
|
96% |
136383
176.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3670
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28995
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27972
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2590
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1445
1.93 KIPS |
|
|
Text Classification (Q)
|
93% |
1637
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3486
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6078
104.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6872
118.8 IPS |
