iPhone 13 Pro Max
Geekbench AI Score
3356
Single Precision Score
3583
Half Precision Score
3635
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | June 14 2025 03:12 AM |
| Views | 10 |
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% |
670
124.7 IPS |
|
|
Image Classification (HP)
|
100% |
697
129.7 IPS |
|
|
Image Classification (Q)
|
96% |
1122
209.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2741
44.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2735
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11235
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12624
14.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
12290
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.0 IPS |
|
|
Object Detection (HP)
|
100% |
1239
98.3 IPS |
|
|
Object Detection (Q)
|
92% |
1228
98.0 IPS |
|
|
Face Detection (SP)
|
100% |
4196
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
4691
55.7 IPS |
|
|
Face Detection (Q)
|
100% |
3939
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8331
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8760
67.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8094
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18478
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22853
29.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22169
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3936
145.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3426
126.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3553
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4188
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4158
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
891
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
833
14.4 IPS |
