iPad Pro 13-inch (M4)
Geekbench AI Score
4703
Single Precision Score
36258
Half Precision Score
51999
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 06 2025 02:56 PM |
| Views | 26 |
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, 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% |
2011
373.9 IPS |
|
|
Image Classification (HP)
|
100% |
16891
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
29146
5.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21877
354.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30082
487.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10036
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123458
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231923
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2250
178.5 IPS |
|
|
Object Detection (HP)
|
100% |
18207
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25222
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4007
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
42158
500.9 IPS |
|
|
Face Detection (Q)
|
100% |
62610
743.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8303
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98772
761.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
168085
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25244
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
236244
303.7 IPS |
|
|
Style Transfer (Q)
|
96% |
297567
384.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5840
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48530
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83095
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6112
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6095
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3853
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16203
279.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17771
307.1 IPS |
