iPhone 13 Pro Max
Geekbench AI Score
3231
Single Precision Score
5718
Half Precision Score
4670
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 10:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1305
242.7 IPS |
|
|
Image Classification (HP)
|
100% |
2401
446.6 IPS |
|
|
Image Classification (Q)
|
96% |
1671
312.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2449
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6336
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
14471
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12258
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1445
114.6 IPS |
|
|
Object Detection (HP)
|
97% |
2734
217.7 IPS |
|
|
Object Detection (Q)
|
94% |
1972
157.2 IPS |
|
|
Face Detection (SP)
|
100% |
2634
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5655
67.2 IPS |
|
|
Face Detection (Q)
|
100% |
3174
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5267
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10549
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7434
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17206
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27648
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23223
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3860
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4869
179.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3663
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
2434
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3836
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3809
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3649
62.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6507
112.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6537
113.0 IPS |
