iPhone 13 Pro Max
Geekbench AI Score
3124
Single Precision Score
19676
Half Precision Score
21914
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 02 2025 11:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1276
237.4 IPS |
|
|
Image Classification (HP)
|
100% |
7205
1.34 KIPS |
|
|
Image Classification (Q)
|
96% |
9930
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12935
209.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13659
221.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5788
6.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
82089
95.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
84814
99.4 IPS |
|
|
Object Detection (SP)
|
100% |
1333
105.7 IPS |
|
|
Object Detection (HP)
|
99% |
10612
844.2 IPS |
|
|
Object Detection (Q)
|
91% |
12578
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
2511
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
28669
340.7 IPS |
|
|
Face Detection (Q)
|
100% |
37144
441.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5189
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
57560
443.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
70420
550.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16406
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
152022
195.4 IPS |
|
|
Style Transfer (Q)
|
96% |
137433
177.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28213
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27635
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2585
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2457
3.28 KIPS |
|
|
Text Classification (Q)
|
93% |
2545
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3498
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6162
106.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6984
120.7 IPS |
