iPhone 13 Pro Max
Geekbench AI Score
3970
Single Precision Score
4503
Half Precision Score
4170
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | fridriksa |
| Upload Date | March 08 2025 11:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1648
306.5 IPS |
|
|
Image Classification (HP)
|
100% |
1522
283.0 IPS |
|
|
Image Classification (Q)
|
96% |
1644
307.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2776
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2765
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11219
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12315
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
11869
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1980
157.0 IPS |
|
|
Object Detection (HP)
|
100% |
2081
165.1 IPS |
|
|
Object Detection (Q)
|
92% |
1857
148.2 IPS |
|
|
Face Detection (SP)
|
100% |
4890
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
6406
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
4979
59.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8677
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9409
72.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8560
66.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18610
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22929
29.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21669
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4754
175.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4914
181.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4283
158.1 IPS |
|
|
Text Classification (SP)
|
100% |
2438
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4252
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4199
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1048
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
956
16.5 IPS |
