iPhone 13 Pro Max
Geekbench AI Score
3165
Single Precision Score
19678
Half Precision Score
22027
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TofuBoi |
| Upload Date | December 08 2025 03:57 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1256
233.5 IPS |
|
|
Image Classification (HP)
|
100% |
7845
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
11323
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12887
208.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13059
211.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6147
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
85896
100.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
94327
110.6 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (HP)
|
99% |
10661
848.0 IPS |
|
|
Object Detection (Q)
|
91% |
11753
939.1 IPS |
|
|
Face Detection (SP)
|
100% |
2585
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
26762
318.0 IPS |
|
|
Face Detection (Q)
|
100% |
33195
394.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5228
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
52510
404.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
69986
546.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17429
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
154944
199.2 IPS |
|
|
Style Transfer (Q)
|
96% |
143230
184.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3617
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29746
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29168
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2571
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2388
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2419
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3491
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6082
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6987
120.7 IPS |
