iPad Pro 13-inch (M4)
Geekbench AI Score
4727
Single Precision Score
36439
Half Precision Score
51031
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 07:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
17585
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
23822
4.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22051
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30104
488.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10070
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123138
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233058
273.2 IPS |
|
|
Object Detection (SP)
|
100% |
2260
179.3 IPS |
|
|
Object Detection (HP)
|
100% |
17958
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26246
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4052
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
42539
505.5 IPS |
|
|
Face Detection (Q)
|
100% |
62807
746.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8344
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98855
761.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
166921
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25245
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
233047
299.6 IPS |
|
|
Style Transfer (Q)
|
96% |
294784
380.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5871
216.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50991
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83728
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5860
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5870
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3886
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16439
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17978
310.7 IPS |
