iPhone 14 Pro Max
Geekbench AI Score
3617
Single Precision Score
22884
Half Precision Score
26592
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 05 2026 08:57 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1369
254.6 IPS |
|
|
Image Classification (HP)
|
100% |
9583
1.78 KIPS |
|
|
Image Classification (Q)
|
97% |
12051
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1347
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16098
261.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19412
314.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6301
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
101468
118.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
98748
115.7 IPS |
|
|
Object Detection (SP)
|
100% |
1448
114.8 IPS |
|
|
Object Detection (HP)
|
100% |
12384
982.3 IPS |
|
|
Object Detection (Q)
|
89% |
14500
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
32347
384.4 IPS |
|
|
Face Detection (Q)
|
100% |
42359
503.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5859
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
72163
556.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
92121
719.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18203
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
148317
190.7 IPS |
|
|
Style Transfer (Q)
|
96% |
175608
226.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3828
141.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31933
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37123
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
5157
6.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2658
3.55 KIPS |
|
|
Text Classification (Q)
|
93% |
2629
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3496
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6914
119.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7895
136.4 IPS |
