iPhone 13 Pro Max
Geekbench AI Score
3125
Single Precision Score
19432
Half Precision Score
22042
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 07:20 PM |
| Views | 3 |
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% |
1261
234.4 IPS |
|
|
Image Classification (HP)
|
100% |
7337
1.36 KIPS |
|
|
Image Classification (Q)
|
96% |
10617
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12799
207.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
15029
243.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5915
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
86233
100.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
83540
97.9 IPS |
|
|
Object Detection (SP)
|
100% |
1341
106.4 IPS |
|
|
Object Detection (HP)
|
99% |
10527
837.4 IPS |
|
|
Object Detection (Q)
|
91% |
12009
959.5 IPS |
|
|
Face Detection (SP)
|
100% |
2582
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
26424
314.0 IPS |
|
|
Face Detection (Q)
|
100% |
37316
443.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5127
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
53851
414.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
65901
515.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17153
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
148559
191.0 IPS |
|
|
Style Transfer (Q)
|
96% |
138486
178.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3586
132.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28708
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29375
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2555
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2369
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6156
106.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7136
123.3 IPS |
