iPhone 13 Pro Max
Geekbench AI Score
3156
Single Precision Score
18783
Half Precision Score
20510
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 01:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1305
242.6 IPS |
|
|
Image Classification (HP)
|
100% |
7881
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
10401
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1190
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11426
185.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13696
222.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5810
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
82185
95.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
82321
96.5 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
99% |
10356
823.8 IPS |
|
|
Object Detection (Q)
|
91% |
11199
894.9 IPS |
|
|
Face Detection (SP)
|
100% |
2460
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
29127
346.1 IPS |
|
|
Face Detection (Q)
|
100% |
37147
441.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5301
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
57368
442.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
72789
568.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17742
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
159678
205.3 IPS |
|
|
Style Transfer (Q)
|
96% |
135787
175.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3831
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29567
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28011
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2500
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1507
2.01 KIPS |
|
|
Text Classification (Q)
|
93% |
1437
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3654
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5999
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6787
117.3 IPS |
