iPhone 13 Pro Max
Geekbench AI Score
3262
Single Precision Score
5791
Half Precision Score
4682
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 02:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1330
247.4 IPS |
|
|
Image Classification (HP)
|
100% |
2406
447.5 IPS |
|
|
Image Classification (Q)
|
96% |
1678
313.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2437
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6271
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
14562
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12027
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
97% |
2735
217.8 IPS |
|
|
Object Detection (Q)
|
94% |
1973
157.3 IPS |
|
|
Face Detection (SP)
|
100% |
2661
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5649
67.1 IPS |
|
|
Face Detection (Q)
|
100% |
3179
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5375
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10581
81.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7426
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17642
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27843
35.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22997
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3858
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5060
186.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3690
136.3 IPS |
|
|
Text Classification (SP)
|
100% |
2457
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4010
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3980
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3642
62.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6536
112.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6546
113.1 IPS |
