iPhone 13 Pro Max
Geekbench AI Score
4055
Single Precision Score
4597
Half Precision Score
4365
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 20 2026 04:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1634
303.9 IPS |
|
|
Image Classification (HP)
|
100% |
1686
313.6 IPS |
|
|
Image Classification (Q)
|
94% |
1671
312.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2763
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2992
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2806
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11248
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12769
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12619
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1966
155.9 IPS |
|
|
Object Detection (HP)
|
100% |
2017
160.0 IPS |
|
|
Object Detection (Q)
|
91% |
1903
152.1 IPS |
|
|
Face Detection (SP)
|
100% |
5135
61.0 IPS |
|
|
Face Detection (HP)
|
100% |
6763
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
5797
68.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8543
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9303
71.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8419
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18796
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23230
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22836
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4867
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4657
172.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4274
157.8 IPS |
|
|
Text Classification (SP)
|
100% |
2577
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4147
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4130
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1135
19.6 IPS |
