iPhone 13 Pro Max
Geekbench AI Score
3149
Single Precision Score
19372
Half Precision Score
22171
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 06:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1268
235.9 IPS |
|
|
Image Classification (HP)
|
100% |
7807
1.45 KIPS |
|
|
Image Classification (Q)
|
96% |
10092
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12119
196.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13712
222.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5956
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
77845
90.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
83358
97.7 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.7 IPS |
|
|
Object Detection (HP)
|
99% |
11170
888.5 IPS |
|
|
Object Detection (Q)
|
91% |
12064
963.9 IPS |
|
|
Face Detection (SP)
|
100% |
2621
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
27507
326.8 IPS |
|
|
Face Detection (Q)
|
100% |
34133
405.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5170
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
57979
446.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
77476
605.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16970
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
150689
193.7 IPS |
|
|
Style Transfer (Q)
|
96% |
146018
188.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3623
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26918
994.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29311
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2579
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2439
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3463
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6145
105.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7472
129.1 IPS |
