iPhone 13 Pro Max
Geekbench AI Score
3381
Single Precision Score
3800
Half Precision Score
3601
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 05:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
704
131.0 IPS |
|
|
Image Classification (HP)
|
100% |
1191
221.6 IPS |
|
|
Image Classification (Q)
|
96% |
1205
225.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2734
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2933
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2855
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11341
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12866
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12558
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1484
117.7 IPS |
|
|
Object Detection (HP)
|
100% |
1209
95.9 IPS |
|
|
Object Detection (Q)
|
92% |
1093
87.3 IPS |
|
|
Face Detection (SP)
|
100% |
4847
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
6338
75.3 IPS |
|
|
Face Detection (Q)
|
100% |
4767
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8670
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7548
58.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
7271
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18489
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22915
29.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22734
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3470
128.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3196
118.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2996
110.6 IPS |
|
|
Text Classification (SP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3910
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3912
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
841
14.5 IPS |
