iPad Pro 11-inch (M4)
Geekbench AI Score
9640
Single Precision Score
11258
Half Precision Score
10157
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 19 2025 10:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4545
845.3 IPS |
|
|
Image Classification (HP)
|
100% |
4815
895.4 IPS |
|
|
Image Classification (Q)
|
96% |
4505
841.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7135
115.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7939
128.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7595
123.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27623
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29791
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29092
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
4512
357.9 IPS |
|
|
Object Detection (HP)
|
100% |
5163
409.5 IPS |
|
|
Object Detection (Q)
|
92% |
4714
376.3 IPS |
|
|
Face Detection (SP)
|
100% |
12327
146.5 IPS |
|
|
Face Detection (HP)
|
100% |
15993
190.0 IPS |
|
|
Face Detection (Q)
|
100% |
13279
157.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20467
157.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22480
173.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
20597
161.1 IPS |
|
|
Style Transfer (SP)
|
100% |
55956
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66368
85.3 IPS |
|
|
Style Transfer (Q)
|
96% |
63835
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11537
426.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12880
475.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11207
413.8 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5491
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5515
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3574
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3298
56.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2308
39.9 IPS |
