iPhone 13 Pro Max
Geekbench AI Score
3189
Single Precision Score
5737
Half Precision Score
4666
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 21 2025 05:42 PM |
| Views | 3 |
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% |
1150
213.9 IPS |
|
|
Image Classification (HP)
|
100% |
2354
437.8 IPS |
|
|
Image Classification (Q)
|
96% |
1635
305.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2001
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2403
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6178
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
14104
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12132
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.1 IPS |
|
|
Object Detection (HP)
|
97% |
2737
217.9 IPS |
|
|
Object Detection (Q)
|
94% |
1941
154.7 IPS |
|
|
Face Detection (SP)
|
100% |
2668
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5573
66.2 IPS |
|
|
Face Detection (Q)
|
100% |
3165
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5307
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10503
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7303
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17486
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27801
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23104
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3846
142.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4789
176.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3638
134.3 IPS |
|
|
Text Classification (SP)
|
100% |
2439
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4282
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4287
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3580
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6374
110.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6350
109.7 IPS |
