iPad Pro 13-inch (M4)
Geekbench AI Score
8746
Single Precision Score
10542
Half Precision Score
9270
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | leglerreddin |
| Upload Date | February 24 2025 08:56 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4324
804.1 IPS |
|
|
Image Classification (HP)
|
100% |
4760
885.2 IPS |
|
|
Image Classification (Q)
|
97% |
4086
762.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4792
77.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6604
107.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7007
113.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27434
32.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
29550
34.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
28118
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
4621
366.6 IPS |
|
|
Object Detection (HP)
|
100% |
5116
405.8 IPS |
|
|
Object Detection (Q)
|
91% |
4361
348.5 IPS |
|
|
Face Detection (SP)
|
100% |
12606
149.8 IPS |
|
|
Face Detection (HP)
|
100% |
16215
192.7 IPS |
|
|
Face Detection (Q)
|
100% |
11839
140.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20232
155.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22467
173.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
19480
152.3 IPS |
|
|
Style Transfer (SP)
|
100% |
55288
71.1 IPS |
|
|
Style Transfer (HP)
|
100% |
66290
85.2 IPS |
|
|
Style Transfer (Q)
|
96% |
62004
80.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11580
427.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12954
478.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10306
380.6 IPS |
|
|
Text Classification (SP)
|
100% |
3088
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5486
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5572
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1978
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2080
35.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1627
28.1 IPS |
