iPhone 17 Pro Max
Geekbench AI Score
5099
Single Precision Score
8330
Half Precision Score
6544
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 05 2026 04:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2330
433.3 IPS |
|
|
Image Classification (HP)
|
100% |
3705
688.9 IPS |
|
|
Image Classification (Q)
|
96% |
2461
459.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3010
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3414
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10325
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18696
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15965
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2532
200.9 IPS |
|
|
Object Detection (HP)
|
97% |
4115
327.6 IPS |
|
|
Object Detection (Q)
|
94% |
2763
220.2 IPS |
|
|
Face Detection (SP)
|
100% |
4371
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
8394
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
4227
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8436
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14131
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9801
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24461
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37492
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30900
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5396
199.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6750
249.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4944
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3552
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6557
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6503
8.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5275
90.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9534
164.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9453
163.4 IPS |
