iPhone 13 Pro Max
Geekbench AI Score
3025
Single Precision Score
3327
Half Precision Score
1187
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
1557
289.6 IPS |
|
|
Image Classification (Q)
|
97% |
1364
254.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2244
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2465
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2405
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11044
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12119
14.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
11010
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1926
152.7 IPS |
|
|
Object Detection (HP)
|
100% |
1957
155.2 IPS |
|
|
Object Detection (Q)
|
92% |
1529
122.0 IPS |
|
|
Face Detection (SP)
|
100% |
4399
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
5855
69.6 IPS |
|
|
Face Detection (Q)
|
100% |
3765
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8421
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9029
69.6 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
54.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18520
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21234
27.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21432
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4557
168.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4889
180.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3966
146.4 IPS |
|
|
Text Classification (SP)
|
100% |
367
490.3 IPS |
|
|
Text Classification (HP)
|
100% |
366
488.9 IPS |
|
|
Text Classification (Q)
|
93% |
244
327.2 IPS |
|
|
Machine Translation (SP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1294
22.4 IPS |
