iPhone 13 Pro Max
Geekbench AI Score
3161
Single Precision Score
5767
Half Precision Score
4722
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Ryan900 |
| Upload Date | September 17 2025 10:21 PM |
| Views | 5 |
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% |
1266
235.4 IPS |
|
|
Image Classification (HP)
|
100% |
2412
448.5 IPS |
|
|
Image Classification (Q)
|
96% |
1667
311.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2457
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6053
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
14551
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12192
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1335
105.9 IPS |
|
|
Object Detection (HP)
|
97% |
2748
218.8 IPS |
|
|
Object Detection (Q)
|
94% |
1974
157.3 IPS |
|
|
Face Detection (SP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5667
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
3228
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5276
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10622
82.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7478
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17235
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27370
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22810
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3618
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4804
177.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3688
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
2584
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4118
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4093
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6615
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6727
116.2 IPS |
