iPhone 13 Pro Max
Geekbench AI Score
3175
Single Precision Score
5637
Half Precision Score
4566
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 12:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
2370
440.7 IPS |
|
|
Image Classification (Q)
|
96% |
1623
303.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2416
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5941
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
13613
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11444
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (HP)
|
97% |
2692
214.3 IPS |
|
|
Object Detection (Q)
|
94% |
1909
152.2 IPS |
|
|
Face Detection (SP)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5488
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3046
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5252
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10462
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7241
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16701
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27028
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21816
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3725
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4739
175.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3544
130.9 IPS |
|
|
Text Classification (SP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4281
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4312
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6074
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6254
108.1 IPS |
