iPhone 13 Pro Max
Geekbench AI Score
3243
Single Precision Score
20005
Half Precision Score
23203
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Tameempaknehad |
| Upload Date | April 06 2025 08:42 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
7724
1.44 KIPS |
|
|
Image Classification (Q)
|
96% |
11403
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13385
217.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
14791
239.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6192
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
87145
101.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
94403
110.6 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
99% |
11315
900.1 IPS |
|
|
Object Detection (Q)
|
91% |
11275
900.9 IPS |
|
|
Face Detection (SP)
|
100% |
2643
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
26444
314.2 IPS |
|
|
Face Detection (Q)
|
100% |
37202
442.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5231
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
58764
452.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
75390
589.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17736
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
168002
216.0 IPS |
|
|
Style Transfer (Q)
|
96% |
170320
219.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3859
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25856
954.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31160
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2436
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2395
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3637
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6126
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7070
122.2 IPS |
