iPhone 14 Pro Max
Geekbench AI Score
3510
Single Precision Score
24182
Half Precision Score
27794
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 09 2025 06:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1422
264.5 IPS |
|
|
Image Classification (HP)
|
100% |
10153
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
13014
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1397
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15832
256.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19140
310.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6949
8.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
103310
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105066
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
100% |
12865
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
15479
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
2959
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
31739
377.1 IPS |
|
|
Face Detection (Q)
|
100% |
40391
479.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6037
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
75819
584.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
95491
746.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18680
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
180448
232.0 IPS |
|
|
Style Transfer (Q)
|
96% |
178730
230.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4116
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31907
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41478
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
2682
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2750
3.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3580
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7592
130.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8639
149.3 IPS |
