iPad Pro 13-inch (M4)
Geekbench AI Score
4864
Single Precision Score
7926
Half Precision Score
6354
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 02:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2097
390.1 IPS |
|
|
Image Classification (HP)
|
100% |
3315
616.5 IPS |
|
|
Image Classification (Q)
|
96% |
2324
434.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2233
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3314
53.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3660
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10047
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19437
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16640
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
97% |
3759
299.2 IPS |
|
|
Object Detection (Q)
|
94% |
2703
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
4345
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
7820
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4417
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8617
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14563
112.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10210
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21971
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38207
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31654
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6079
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7127
263.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5027
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
2913
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5697
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5631
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4433
76.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6901
119.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6944
120.0 IPS |
