iPhone 13 Pro Max
Geekbench AI Score
3266
Single Precision Score
19894
Half Precision Score
22649
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 07 2025 02:47 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
8235
1.53 KIPS |
|
|
Image Classification (Q)
|
96% |
8832
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11653
188.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14876
241.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6431
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
94884
110.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
95689
112.2 IPS |
|
|
Object Detection (SP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (HP)
|
99% |
10266
816.6 IPS |
|
|
Object Detection (Q)
|
91% |
11754
939.2 IPS |
|
|
Face Detection (SP)
|
100% |
2671
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
29403
349.4 IPS |
|
|
Face Detection (Q)
|
100% |
37118
441.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5299
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55639
428.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
80659
630.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17708
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
159516
205.1 IPS |
|
|
Style Transfer (Q)
|
96% |
158577
204.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3888
143.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26504
978.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28513
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2455
3.28 KIPS |
|
|
Text Classification (Q)
|
93% |
2548
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3587
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6119
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6970
120.5 IPS |
