iPad Pro 13-inch (M4)
Geekbench AI Score
4783
Single Precision Score
35681
Half Precision Score
51248
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 27 2025 09:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
2060
383.2 IPS |
|
|
Image Classification (HP)
|
100% |
16667
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
25883
4.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21890
354.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30292
491.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9833
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122602
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230321
270.0 IPS |
|
|
Object Detection (SP)
|
100% |
2412
191.3 IPS |
|
|
Object Detection (HP)
|
100% |
18119
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26253
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4312
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
42665
506.9 IPS |
|
|
Face Detection (Q)
|
100% |
62244
739.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8547
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98146
756.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
165626
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
21495
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233298
299.9 IPS |
|
|
Style Transfer (Q)
|
96% |
295914
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5996
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47977
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81805
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5561
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6042
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4364
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
15837
272.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17484
302.1 IPS |
