iPhone 13 Pro Max
Geekbench AI Score
3163
Single Precision Score
19149
Half Precision Score
22245
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 16 2026 11:47 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1256
233.6 IPS |
|
|
Image Classification (HP)
|
100% |
7713
1.43 KIPS |
|
|
Image Classification (Q)
|
96% |
10528
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11966
194.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
15276
247.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6110
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
82244
96.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
88679
103.9 IPS |
|
|
Object Detection (SP)
|
100% |
1367
108.4 IPS |
|
|
Object Detection (HP)
|
99% |
10340
822.5 IPS |
|
|
Object Detection (Q)
|
91% |
11701
935.0 IPS |
|
|
Face Detection (SP)
|
100% |
2601
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
26480
314.6 IPS |
|
|
Face Detection (Q)
|
100% |
36931
438.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5196
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
57490
442.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
74559
582.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17412
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
149183
191.8 IPS |
|
|
Style Transfer (Q)
|
96% |
138136
178.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3647
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26450
976.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28469
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2575
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (Q)
|
93% |
2402
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3477
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6040
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6836
118.1 IPS |
