iPhone 13 Pro Max
Geekbench AI Score
3769
Single Precision Score
4244
Half Precision Score
3742
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 02:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1677
312.0 IPS |
|
|
Image Classification (HP)
|
100% |
1581
294.1 IPS |
|
|
Image Classification (Q)
|
97% |
1448
270.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2284
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2491
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2519
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11160
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12137
14.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11403
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1971
156.3 IPS |
|
|
Object Detection (HP)
|
100% |
2030
161.0 IPS |
|
|
Object Detection (Q)
|
91% |
1645
131.5 IPS |
|
|
Face Detection (SP)
|
100% |
4592
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
6006
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
4129
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8634
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9206
70.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7580
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18660
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23282
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21694
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4875
180.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4889
180.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3892
143.7 IPS |
|
|
Text Classification (SP)
|
100% |
2369
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4090
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4078
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
760
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
732
12.7 IPS |
