iPhone 13 Pro Max
Geekbench AI Score
3147
Single Precision Score
18327
Half Precision Score
20684
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 26 2025 02:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1273
236.8 IPS |
|
|
Image Classification (HP)
|
100% |
7636
1.42 KIPS |
|
|
Image Classification (Q)
|
96% |
8038
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12967
210.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15051
244.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5988
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
76625
89.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
85057
99.7 IPS |
|
|
Object Detection (SP)
|
100% |
1344
106.6 IPS |
|
|
Object Detection (HP)
|
99% |
10383
825.9 IPS |
|
|
Object Detection (Q)
|
91% |
11982
957.4 IPS |
|
|
Face Detection (SP)
|
100% |
2618
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
27256
323.9 IPS |
|
|
Face Detection (Q)
|
100% |
35325
419.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5240
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
53056
408.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
75515
590.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16859
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
148747
191.2 IPS |
|
|
Style Transfer (Q)
|
96% |
138710
179.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3616
133.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27458
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27466
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2568
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1488
1.99 KIPS |
|
|
Text Classification (Q)
|
93% |
1662
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6177
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6885
119.0 IPS |
