iPad Pro 13-inch (M4)
Geekbench AI Score
4749
Single Precision Score
36034
Half Precision Score
50960
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | l3uzz |
| Upload Date | February 11 2025 02:22 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2020
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
17179
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
23909
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22007
356.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30404
492.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10042
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123419
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231791
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.2 IPS |
|
|
Object Detection (HP)
|
100% |
18160
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25504
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4092
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
42174
501.1 IPS |
|
|
Face Detection (Q)
|
100% |
62961
748.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8410
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98726
760.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
168083
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25270
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
230441
296.2 IPS |
|
|
Style Transfer (Q)
|
96% |
297088
383.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5788
213.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48330
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83097
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5800
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5930
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3935
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16199
279.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17742
306.6 IPS |
