iPhone 13 Pro Max
Geekbench AI Score
3299
Single Precision Score
18936
Half Precision Score
22254
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | August 09 2025 02:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1311
243.8 IPS |
|
|
Image Classification (HP)
|
100% |
7441
1.38 KIPS |
|
|
Image Classification (Q)
|
96% |
10318
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12028
195.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
15201
246.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6465
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
76704
89.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
91573
107.3 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
99% |
10260
816.1 IPS |
|
|
Object Detection (Q)
|
91% |
11744
938.4 IPS |
|
|
Face Detection (SP)
|
100% |
2712
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
26903
319.7 IPS |
|
|
Face Detection (Q)
|
100% |
36309
431.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5328
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
57201
440.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
75235
587.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17932
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
149351
192.0 IPS |
|
|
Style Transfer (Q)
|
96% |
140864
181.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3871
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26769
988.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28872
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2546
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2330
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3702
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6048
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6823
117.9 IPS |
