iPhone 13 Pro Max
Geekbench AI Score
3909
Single Precision Score
4678
Half Precision Score
4215
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | TofuBoi |
| Upload Date | May 22 2025 08:23 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1555
289.1 IPS |
|
|
Image Classification (HP)
|
100% |
1552
288.7 IPS |
|
|
Image Classification (Q)
|
96% |
1590
296.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2815
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2915
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2792
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11186
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12790
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12471
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1873
148.6 IPS |
|
|
Object Detection (HP)
|
100% |
1996
158.3 IPS |
|
|
Object Detection (Q)
|
92% |
1728
138.0 IPS |
|
|
Face Detection (SP)
|
100% |
4796
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
6098
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
4832
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8414
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9199
70.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8429
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18831
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24067
30.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22923
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4859
179.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5086
187.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4531
167.3 IPS |
|
|
Text Classification (SP)
|
100% |
2449
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4274
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4335
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1481
25.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1010
17.5 IPS |
