iPhone 13 Pro Max
Geekbench AI Score
3192
Single Precision Score
18654
Half Precision Score
20582
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 08:25 AM |
| Views | 2 |
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% |
1263
234.9 IPS |
|
|
Image Classification (HP)
|
100% |
7880
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
8160
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13321
215.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
15321
248.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6179
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
76736
89.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
84115
98.6 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.6 IPS |
|
|
Object Detection (HP)
|
99% |
10316
820.6 IPS |
|
|
Object Detection (Q)
|
91% |
11968
956.3 IPS |
|
|
Face Detection (SP)
|
100% |
2663
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
25377
301.5 IPS |
|
|
Face Detection (Q)
|
100% |
32738
389.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5316
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
57600
443.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
66611
520.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17522
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
154175
198.2 IPS |
|
|
Style Transfer (Q)
|
96% |
140817
181.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3647
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29794
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28304
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2583
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1480
1.98 KIPS |
|
|
Text Classification (Q)
|
93% |
1800
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3488
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6179
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6931
119.8 IPS |
