iPad Pro 13-inch (M4)
Geekbench AI Score
4841
Single Precision Score
7949
Half Precision Score
6389
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | April 09 2025 04:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
3326
618.5 IPS |
|
|
Image Classification (Q)
|
96% |
2313
432.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2215
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3293
53.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3615
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10032
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19415
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16612
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2420
192.0 IPS |
|
|
Object Detection (HP)
|
97% |
3773
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2715
216.4 IPS |
|
|
Face Detection (SP)
|
100% |
4326
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
7819
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4487
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8599
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14620
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10213
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21514
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38194
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31733
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6100
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7078
261.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5028
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5753
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5782
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4445
76.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7065
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7112
122.9 IPS |
