iPhone 13 Pro Max
Geekbench AI Score
3129
Single Precision Score
5787
Half Precision Score
4724
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 09:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
2430
451.8 IPS |
|
|
Image Classification (Q)
|
96% |
1673
312.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1971
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2449
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6021
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14396
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12255
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1324
105.0 IPS |
|
|
Object Detection (HP)
|
97% |
2736
217.8 IPS |
|
|
Object Detection (Q)
|
94% |
1975
157.4 IPS |
|
|
Face Detection (SP)
|
100% |
2557
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
5640
67.0 IPS |
|
|
Face Detection (Q)
|
100% |
3214
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5154
39.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10627
82.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7449
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16860
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27471
35.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22780
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3627
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4848
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3675
135.7 IPS |
|
|
Text Classification (SP)
|
100% |
2592
3.46 KIPS |
|
|
Text Classification (HP)
|
99% |
4157
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4130
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3457
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6737
116.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6754
116.7 IPS |
