iPhone 13 Pro Max
Geekbench AI Score
3144
Single Precision Score
19711
Half Precision Score
22468
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Ryan900 |
| Upload Date | September 17 2025 10:27 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% |
1274
237.0 IPS |
|
|
Image Classification (HP)
|
100% |
7753
1.44 KIPS |
|
|
Image Classification (Q)
|
96% |
9992
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11684
189.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15333
248.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5852
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
86449
100.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
87243
102.3 IPS |
|
|
Object Detection (SP)
|
100% |
1344
106.6 IPS |
|
|
Object Detection (HP)
|
99% |
10538
838.2 IPS |
|
|
Object Detection (Q)
|
91% |
12521
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
2630
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
28919
343.6 IPS |
|
|
Face Detection (Q)
|
100% |
37300
443.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5224
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
58079
447.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
77475
605.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17022
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
150186
193.1 IPS |
|
|
Style Transfer (Q)
|
96% |
140973
181.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3620
133.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28891
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28377
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2581
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2374
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2419
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3452
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6201
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7006
121.1 IPS |
