iPhone 13 Pro Max
Geekbench AI Score
3264
Single Precision Score
18505
Half Precision Score
21797
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 05:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1335
248.3 IPS |
|
|
Image Classification (HP)
|
100% |
7888
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
8848
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12197
197.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14975
242.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6374
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
88191
102.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
93089
109.1 IPS |
|
|
Object Detection (SP)
|
100% |
1462
115.9 IPS |
|
|
Object Detection (HP)
|
99% |
10480
833.7 IPS |
|
|
Object Detection (Q)
|
91% |
11833
945.5 IPS |
|
|
Face Detection (SP)
|
100% |
2656
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
27045
321.4 IPS |
|
|
Face Detection (Q)
|
100% |
33163
394.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5497
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
52548
404.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
71850
561.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17872
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
149917
192.7 IPS |
|
|
Style Transfer (Q)
|
96% |
151715
195.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3959
146.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26446
976.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28219
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2434
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1562
2.09 KIPS |
|
|
Text Classification (Q)
|
93% |
2356
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3410
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6017
103.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6904
119.3 IPS |
