iPhone 17 Pro Max
Geekbench AI Score
5106
Single Precision Score
36131
Half Precision Score
49788
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | ikristof |
| Upload Date | January 09 2026 07:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2333
433.9 IPS |
|
|
Image Classification (HP)
|
100% |
16545
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
22925
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2175
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20027
324.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24989
405.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9636
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
148872
173.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
295111
345.9 IPS |
|
|
Object Detection (SP)
|
100% |
2644
209.8 IPS |
|
|
Object Detection (HP)
|
100% |
18063
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25835
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4524
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
41245
490.1 IPS |
|
|
Face Detection (Q)
|
100% |
56917
676.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8532
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104507
805.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
174420
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
24948
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
257859
331.5 IPS |
|
|
Style Transfer (Q)
|
96% |
351229
453.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5638
208.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57024
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85854
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6086
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5933
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5253
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11032
190.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12066
208.5 IPS |
