iPhone 13 Pro Max
Geekbench AI Score
3286
Single Precision Score
20371
Half Precision Score
22993
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | EPMandBI |
| Upload Date | September 24 2025 09:19 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
1331
247.6 IPS |
|
|
Image Classification (HP)
|
100% |
9153
1.70 KIPS |
|
|
Image Classification (Q)
|
96% |
9713
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13090
212.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15041
243.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6559
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
93101
108.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
95709
112.2 IPS |
|
|
Object Detection (SP)
|
100% |
1459
115.7 IPS |
|
|
Object Detection (HP)
|
99% |
10454
831.6 IPS |
|
|
Object Detection (Q)
|
91% |
12155
971.2 IPS |
|
|
Face Detection (SP)
|
100% |
2695
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
29592
351.6 IPS |
|
|
Face Detection (Q)
|
100% |
36825
437.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5280
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
55154
424.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
80643
630.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17837
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
161083
207.1 IPS |
|
|
Style Transfer (Q)
|
96% |
163952
211.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3900
144.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27659
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28511
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2461
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3653
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6175
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7115
123.0 IPS |
