iPhone 13 Pro Max
Geekbench AI Score
3275
Single Precision Score
5766
Half Precision Score
4692
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | June 14 2025 03:08 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
2364
439.6 IPS |
|
|
Image Classification (Q)
|
96% |
1633
305.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1268
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1965
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2427
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6596
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
14757
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12505
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1448
114.9 IPS |
|
|
Object Detection (HP)
|
97% |
2719
216.5 IPS |
|
|
Object Detection (Q)
|
94% |
1944
155.0 IPS |
|
|
Face Detection (SP)
|
100% |
2657
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5613
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
3202
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5318
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10600
81.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7367
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17723
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28424
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23213
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3881
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4823
178.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3655
135.0 IPS |
|
|
Text Classification (SP)
|
100% |
2449
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4220
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4192
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3652
62.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6342
109.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6408
110.7 IPS |
