iPhone 13 Pro Max
Geekbench AI Score
3274
Single Precision Score
19905
Half Precision Score
23158
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 03:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1337
248.6 IPS |
|
|
Image Classification (HP)
|
100% |
8035
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
10236
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12064
195.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
15495
251.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6573
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
89312
104.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
96358
112.9 IPS |
|
|
Object Detection (SP)
|
100% |
1454
115.3 IPS |
|
|
Object Detection (HP)
|
99% |
10520
836.9 IPS |
|
|
Object Detection (Q)
|
91% |
11870
948.4 IPS |
|
|
Face Detection (SP)
|
100% |
2670
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
27832
330.7 IPS |
|
|
Face Detection (Q)
|
100% |
36802
437.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5349
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
56628
436.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
74535
582.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17747
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
167716
215.6 IPS |
|
|
Style Transfer (Q)
|
96% |
171078
220.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3903
144.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26319
971.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29351
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2499
3.34 KIPS |
|
|
Text Classification (Q)
|
93% |
2544
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3624
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6169
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6979
120.6 IPS |
