iPhone 16 Pro Max
Geekbench AI Score
4468
Single Precision Score
33741
Half Precision Score
45114
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | July 01 2025 04:36 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2058
382.7 IPS |
|
|
Image Classification (HP)
|
100% |
14602
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
18611
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18165
294.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23613
382.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9243
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
151497
176.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
288622
338.3 IPS |
|
|
Object Detection (SP)
|
100% |
2321
184.1 IPS |
|
|
Object Detection (HP)
|
100% |
15708
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21232
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3551
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
39408
468.2 IPS |
|
|
Face Detection (Q)
|
100% |
52874
628.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8060
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
93782
722.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
159355
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21255
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244683
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
276500
356.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4488
165.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50458
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77041
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
3575
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6074
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5811
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4069
70.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10933
188.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12435
214.9 IPS |
