iPad Pro 11-inch (M4)
Geekbench AI Score
4881
Single Precision Score
7985
Half Precision Score
6355
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 10:09 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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 | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2090
388.6 IPS |
|
|
Image Classification (HP)
|
100% |
3406
633.4 IPS |
|
|
Image Classification (Q)
|
96% |
2299
429.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3147
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3508
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19458
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16644
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
97% |
3846
306.2 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
4263
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
7663
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
4396
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8492
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14011
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9852
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24264
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39495
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32235
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6023
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7218
266.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5007
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5397
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5341
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4541
78.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7962
137.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7953
137.4 IPS |
