iPhone 17 Pro Max
Geekbench AI Score
5093
Single Precision Score
36266
Half Precision Score
49525
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | HoukCC |
| Upload Date | March 24 2026 11:10 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPhone 17 Pro Max |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2326
432.5 IPS |
|
|
Image Classification (HP)
|
100% |
16194
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
21838
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20023
324.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25045
406.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10001
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
156773
182.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293725
344.3 IPS |
|
|
Object Detection (SP)
|
100% |
2617
207.6 IPS |
|
|
Object Detection (HP)
|
100% |
17378
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25219
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4531
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
40738
484.1 IPS |
|
|
Face Detection (Q)
|
100% |
56362
669.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8380
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104996
808.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160025
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24315
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
256990
330.4 IPS |
|
|
Style Transfer (Q)
|
96% |
350354
452.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5356
197.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57259
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86627
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6403
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6379
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5218
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11055
190.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12549
216.9 IPS |
