iPhone 13 Pro Max
Geekbench AI Score
3123
Single Precision Score
5731
Half Precision Score
4676
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 05:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1194
222.1 IPS |
|
|
Image Classification (HP)
|
100% |
2411
448.4 IPS |
|
|
Image Classification (Q)
|
96% |
1653
308.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2421
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6112
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
14560
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12298
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1333
105.7 IPS |
|
|
Object Detection (HP)
|
97% |
2717
216.3 IPS |
|
|
Object Detection (Q)
|
94% |
1957
156.0 IPS |
|
|
Face Detection (SP)
|
100% |
2576
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
5627
66.9 IPS |
|
|
Face Detection (Q)
|
100% |
3192
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5085
39.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10402
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7410
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17194
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27332
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22693
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3653
134.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4832
178.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3656
135.0 IPS |
|
|
Text Classification (SP)
|
100% |
2578
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4071
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4051
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3403
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6534
112.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6532
112.9 IPS |
