iPhone 13 Pro Max
Geekbench AI Score
3280
Single Precision Score
5774
Half Precision Score
4720
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 19 2025 05:45 PM |
| Views | 24 |
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% |
1363
253.5 IPS |
|
|
Image Classification (HP)
|
100% |
2426
451.2 IPS |
|
|
Image Classification (Q)
|
96% |
1685
314.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2445
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6464
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
14697
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12152
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (HP)
|
97% |
2747
218.7 IPS |
|
|
Object Detection (Q)
|
94% |
1970
157.1 IPS |
|
|
Face Detection (SP)
|
100% |
2658
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5675
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3201
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5387
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10591
81.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7423
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17713
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27858
35.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23202
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3794
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4781
176.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3680
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
2555
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4057
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4127
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3667
63.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6617
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6651
114.9 IPS |
