iPhone 13 Pro Max
Geekbench AI Score
3257
Single Precision Score
5778
Half Precision Score
4672
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 07 2025 10:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1313
244.1 IPS |
|
|
Image Classification (HP)
|
100% |
2377
442.1 IPS |
|
|
Image Classification (Q)
|
96% |
1639
306.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2429
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6412
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
14654
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12303
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1443
114.5 IPS |
|
|
Object Detection (HP)
|
97% |
2729
217.3 IPS |
|
|
Object Detection (Q)
|
94% |
1941
154.7 IPS |
|
|
Face Detection (SP)
|
100% |
2680
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5638
67.0 IPS |
|
|
Face Detection (Q)
|
100% |
3185
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5365
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10541
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7335
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17395
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28251
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22859
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3867
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4779
176.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3651
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
2458
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4223
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4205
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3662
63.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6389
110.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6359
109.9 IPS |
