iPhone 13 Pro Max
Geekbench AI Score
2867
Single Precision Score
3435
Half Precision Score
3128
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 12:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
623
115.9 IPS |
|
|
Image Classification (HP)
|
100% |
1107
205.8 IPS |
|
|
Image Classification (Q)
|
96% |
1027
191.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2908
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2757
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11323
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12711
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
8492
9.95 IPS |
|
|
Object Detection (SP)
|
100% |
1396
110.8 IPS |
|
|
Object Detection (HP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (Q)
|
92% |
1239
98.9 IPS |
|
|
Face Detection (SP)
|
100% |
4318
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
4320
51.3 IPS |
|
|
Face Detection (Q)
|
100% |
4073
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6448
49.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7063
54.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6669
52.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17126
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20416
26.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20347
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3606
133.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3367
124.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3060
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
1215
1.62 KIPS |
|
|
Text Classification (HP)
|
99% |
2086
2.78 KIPS |
|
|
Text Classification (Q)
|
93% |
2078
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
973
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
857
14.8 IPS |
