iPhone 13 Pro Max
Geekbench AI Score
3162
Single Precision Score
19269
Half Precision Score
21841
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | absolutzombie |
| Upload Date | November 22 2025 03:56 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1269
236.0 IPS |
|
|
Image Classification (HP)
|
100% |
7800
1.45 KIPS |
|
|
Image Classification (Q)
|
96% |
9586
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12886
208.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14029
227.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6067
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
80233
93.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
82266
96.4 IPS |
|
|
Object Detection (SP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (HP)
|
99% |
10586
842.1 IPS |
|
|
Object Detection (Q)
|
91% |
10944
874.5 IPS |
|
|
Face Detection (SP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
26468
314.5 IPS |
|
|
Face Detection (Q)
|
100% |
36914
438.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5223
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51519
396.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
72107
563.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17183
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
149760
192.5 IPS |
|
|
Style Transfer (Q)
|
96% |
144601
186.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3641
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29315
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31850
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
2557
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2309
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3459
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6064
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7208
124.6 IPS |
