iPhone 17 Pro Max
Geekbench AI Score
5119
Single Precision Score
35865
Half Precision Score
49471
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tyoung89 |
| Upload Date | January 06 2026 01:18 AM |
| Views | 6 |
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% |
2288
425.5 IPS |
|
|
Image Classification (HP)
|
100% |
16595
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
22607
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19809
321.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25551
414.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10333
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
154937
180.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
297433
348.6 IPS |
|
|
Object Detection (SP)
|
100% |
2642
209.6 IPS |
|
|
Object Detection (HP)
|
100% |
17526
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25962
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4564
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
40674
483.3 IPS |
|
|
Face Detection (Q)
|
100% |
53313
633.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8432
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105533
813.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
171389
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24584
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
257664
331.2 IPS |
|
|
Style Transfer (Q)
|
96% |
350411
452.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5568
205.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55550
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84742
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5868
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5982
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5323
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10945
188.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12130
209.6 IPS |
