iPhone 14 Pro Max
Geekbench AI Score
3460
Single Precision Score
21010
Half Precision Score
25222
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 03:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
7844
1.46 KIPS |
|
|
Image Classification (Q)
|
97% |
11065
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1416
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15932
258.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19075
309.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6557
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
98193
114.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
101404
118.9 IPS |
|
|
Object Detection (SP)
|
100% |
1472
116.7 IPS |
|
|
Object Detection (HP)
|
100% |
10696
848.4 IPS |
|
|
Object Detection (Q)
|
91% |
14445
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
26431
314.1 IPS |
|
|
Face Detection (Q)
|
100% |
39255
466.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6015
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
61208
471.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
75253
588.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18661
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
156066
200.6 IPS |
|
|
Style Transfer (Q)
|
96% |
163158
210.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3970
146.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30787
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35577
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2814
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2339
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3364
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7254
124.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8402
145.2 IPS |
