iPhone 17 Pro Max
Geekbench AI Score
5056
Single Precision Score
36334
Half Precision Score
49654
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 13 2026 03:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2313
430.2 IPS |
|
|
Image Classification (HP)
|
100% |
17003
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
22125
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20098
325.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25700
416.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9970
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
152643
178.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
291779
342.0 IPS |
|
|
Object Detection (SP)
|
100% |
2609
207.0 IPS |
|
|
Object Detection (HP)
|
100% |
17394
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
26096
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4460
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
40983
487.0 IPS |
|
|
Face Detection (Q)
|
100% |
55177
655.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8330
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104771
807.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
162808
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24268
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
253052
325.3 IPS |
|
|
Style Transfer (Q)
|
96% |
353047
455.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5265
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56373
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85000
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3512
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6386
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6415
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5191
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11301
194.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12169
210.3 IPS |
