iPad Pro 11-inch (M4)
Geekbench AI Score
4811
Single Precision Score
36920
Half Precision Score
51068
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jimscard |
| Upload Date | March 28 2025 10:01 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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 | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
17817
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
25263
4.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21958
356.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27146
440.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9984
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122540
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
211327
247.7 IPS |
|
|
Object Detection (SP)
|
100% |
2395
190.0 IPS |
|
|
Object Detection (HP)
|
100% |
18933
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26314
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4272
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
42820
508.8 IPS |
|
|
Face Detection (Q)
|
100% |
63991
760.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8572
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99656
767.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
166972
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21896
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232890
299.4 IPS |
|
|
Style Transfer (Q)
|
96% |
298161
384.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6066
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48817
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83085
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6478
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6715
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4391
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16497
284.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17801
307.6 IPS |
