iPhone 14 Pro Max
Geekbench AI Score
3432
Single Precision Score
21388
Half Precision Score
25299
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | eeessttaa |
| Upload Date | September 14 2025 02:50 AM |
| Views | 4 |
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% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
8271
1.54 KIPS |
|
|
Image Classification (Q)
|
97% |
11156
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16066
260.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18316
296.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6591
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
95954
112.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
100563
117.9 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (HP)
|
100% |
11549
916.1 IPS |
|
|
Object Detection (Q)
|
91% |
14081
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
26346
313.1 IPS |
|
|
Face Detection (Q)
|
100% |
39343
467.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6020
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
63894
492.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
86143
673.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18644
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
166268
213.7 IPS |
|
|
Style Transfer (Q)
|
96% |
164854
212.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3869
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27960
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32551
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
2783
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2382
3.18 KIPS |
|
|
Text Classification (Q)
|
93% |
2459
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3373
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7298
125.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8303
143.5 IPS |
