iPhone 13 Pro Max
Geekbench AI Score
4050
Single Precision Score
4573
Half Precision Score
4356
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 02 2025 11:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1749
325.2 IPS |
|
|
Image Classification (HP)
|
100% |
1624
302.0 IPS |
|
|
Image Classification (Q)
|
96% |
1608
300.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2844
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2920
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2769
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11326
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12707
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12346
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1928
153.0 IPS |
|
|
Object Detection (HP)
|
100% |
2000
158.7 IPS |
|
|
Object Detection (Q)
|
92% |
1840
146.9 IPS |
|
|
Face Detection (SP)
|
100% |
4959
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
6247
74.2 IPS |
|
|
Face Detection (Q)
|
100% |
4920
58.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8550
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9154
70.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8490
66.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18739
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23612
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23131
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4897
180.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5123
189.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4583
169.2 IPS |
|
|
Text Classification (SP)
|
100% |
2542
3.39 KIPS |
|
|
Text Classification (HP)
|
99% |
4258
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4231
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1129
19.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1300
22.5 IPS |
