iPhone 13 Pro Max
Geekbench AI Score
3284
Single Precision Score
19129
Half Precision Score
21921
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | June 17 2025 02:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1361
253.1 IPS |
|
|
Image Classification (HP)
|
100% |
7318
1.36 KIPS |
|
|
Image Classification (Q)
|
96% |
9421
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11834
191.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14608
236.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6325
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
80487
93.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
92298
108.2 IPS |
|
|
Object Detection (SP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (HP)
|
99% |
10258
816.0 IPS |
|
|
Object Detection (Q)
|
91% |
11555
923.3 IPS |
|
|
Face Detection (SP)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
26526
315.2 IPS |
|
|
Face Detection (Q)
|
100% |
36524
434.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5432
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
53379
411.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
74879
585.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17852
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
157920
203.0 IPS |
|
|
Style Transfer (Q)
|
96% |
139530
180.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3836
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29007
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28567
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2509
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2373
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2378
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5964
102.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6734
116.4 IPS |
