iPhone 17 Pro Max
Geekbench AI Score
5063
Single Precision Score
35782
Half Precision Score
48082
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 06 2026 12:22 PM |
| Views | 2 |
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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2329
433.1 IPS |
|
|
Image Classification (HP)
|
100% |
15694
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
20299
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19985
324.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25588
414.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9808
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
155034
180.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
295815
346.7 IPS |
|
|
Object Detection (SP)
|
100% |
2578
204.5 IPS |
|
|
Object Detection (HP)
|
100% |
17756
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
24138
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4478
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
40707
483.7 IPS |
|
|
Face Detection (Q)
|
100% |
50654
601.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8453
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104240
803.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
168633
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24167
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
257769
331.4 IPS |
|
|
Style Transfer (Q)
|
96% |
350073
451.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5428
200.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55931
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84094
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
6187
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6171
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5138
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10531
181.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11476
198.3 IPS |
