iPhone 13 Pro Max
Geekbench AI Score
3141
Single Precision Score
19842
Half Precision Score
22030
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 09:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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
234.3 IPS |
|
|
Image Classification (HP)
|
100% |
8593
1.60 KIPS |
|
|
Image Classification (Q)
|
96% |
10101
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1252
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12572
203.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15101
244.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5956
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
78626
91.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
85648
100.4 IPS |
|
|
Object Detection (SP)
|
100% |
1328
105.3 IPS |
|
|
Object Detection (HP)
|
99% |
10228
813.6 IPS |
|
|
Object Detection (Q)
|
91% |
11754
939.2 IPS |
|
|
Face Detection (SP)
|
100% |
2604
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
28864
343.0 IPS |
|
|
Face Detection (Q)
|
100% |
36973
439.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5201
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56486
435.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
64159
501.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17210
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
152805
196.4 IPS |
|
|
Style Transfer (Q)
|
96% |
146274
188.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3611
133.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28182
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29088
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2570
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2468
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3467
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6353
109.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7040
121.7 IPS |
