iPhone 13 Pro Max
Geekbench AI Score
3146
Single Precision Score
19886
Half Precision Score
22605
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | antoniordo |
| Upload Date | September 28 2025 08:48 PM |
| Views | 4 |
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% |
1272
236.6 IPS |
|
|
Image Classification (HP)
|
100% |
7817
1.45 KIPS |
|
|
Image Classification (Q)
|
96% |
10489
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12599
204.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14606
236.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5992
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
89432
104.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
94380
110.6 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
99% |
10763
856.2 IPS |
|
|
Object Detection (Q)
|
91% |
12291
982.1 IPS |
|
|
Face Detection (SP)
|
100% |
2630
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
29061
345.3 IPS |
|
|
Face Detection (Q)
|
100% |
37549
446.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5235
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
52290
402.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
68289
533.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16850
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
152998
196.7 IPS |
|
|
Style Transfer (Q)
|
96% |
151274
195.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3602
133.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28976
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29260
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2585
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2484
3.32 KIPS |
|
|
Text Classification (Q)
|
93% |
2518
3.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3480
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6099
105.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6860
118.5 IPS |
