iPhone 13 Pro Max
Geekbench AI Score
3124
Single Precision Score
20064
Half Precision Score
22323
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ShortKick |
| Upload Date | September 26 2025 04:37 AM |
| 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% |
1263
234.9 IPS |
|
|
Image Classification (HP)
|
100% |
9268
1.72 KIPS |
|
|
Image Classification (Q)
|
96% |
10969
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11856
192.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14524
235.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5815
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
79852
93.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
81637
95.7 IPS |
|
|
Object Detection (SP)
|
100% |
1335
105.9 IPS |
|
|
Object Detection (HP)
|
99% |
11138
886.0 IPS |
|
|
Object Detection (Q)
|
91% |
12140
970.0 IPS |
|
|
Face Detection (SP)
|
100% |
2584
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
28534
339.1 IPS |
|
|
Face Detection (Q)
|
100% |
35602
423.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5130
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
57329
441.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
68293
533.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16897
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
146252
188.0 IPS |
|
|
Style Transfer (Q)
|
96% |
144868
186.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3604
133.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29767
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30690
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2593
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2438
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2489
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3433
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6231
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7234
125.0 IPS |
