iPhone 13 Pro Max
Geekbench AI Score
3257
Single Precision Score
19835
Half Precision Score
22651
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | IDEA_ELD |
| Upload Date | January 04 2025 10:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1361
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
8186
1.52 KIPS |
|
|
Image Classification (Q)
|
96% |
9854
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12811
207.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14913
241.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6270
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
92527
108.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
95265
111.7 IPS |
|
|
Object Detection (SP)
|
100% |
1436
113.9 IPS |
|
|
Object Detection (HP)
|
99% |
10101
803.5 IPS |
|
|
Object Detection (Q)
|
91% |
11598
926.8 IPS |
|
|
Face Detection (SP)
|
100% |
2629
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
28924
343.7 IPS |
|
|
Face Detection (Q)
|
100% |
36278
431.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5291
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
56626
436.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
70417
550.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17635
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
161062
207.0 IPS |
|
|
Style Transfer (Q)
|
96% |
163615
211.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3967
146.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24881
918.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30993
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2485
3.32 KIPS |
|
|
Text Classification (Q)
|
93% |
2469
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3458
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5897
101.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6847
118.3 IPS |
