iPhone 13 Pro Max
Geekbench AI Score
3140
Single Precision Score
19402
Half Precision Score
21967
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 20 2025 04:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1248
232.0 IPS |
|
|
Image Classification (HP)
|
100% |
7140
1.33 KIPS |
|
|
Image Classification (Q)
|
96% |
10316
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12503
202.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14373
233.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5958
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
86226
100.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
94379
110.6 IPS |
|
|
Object Detection (SP)
|
100% |
1333
105.7 IPS |
|
|
Object Detection (HP)
|
99% |
10826
861.2 IPS |
|
|
Object Detection (Q)
|
91% |
11931
953.3 IPS |
|
|
Face Detection (SP)
|
100% |
2616
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
25922
308.0 IPS |
|
|
Face Detection (Q)
|
100% |
32656
388.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5102
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
57725
444.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
72042
563.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17268
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
154118
198.1 IPS |
|
|
Style Transfer (Q)
|
96% |
142525
183.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3619
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27229
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28163
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2572
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2379
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3444
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6155
106.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6977
120.6 IPS |
