iPad Pro 13-inch (M4)
Geekbench AI Score
4681
Single Precision Score
36701
Half Precision Score
51863
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | randymassey |
| Upload Date | January 30 2025 09:21 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
1974
367.1 IPS |
|
|
Image Classification (HP)
|
100% |
18091
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
25569
4.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22031
357.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30337
491.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10051
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123461
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232058
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2243
177.9 IPS |
|
|
Object Detection (HP)
|
100% |
18599
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26361
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3948
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
43052
511.5 IPS |
|
|
Face Detection (Q)
|
100% |
63743
757.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8292
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100053
770.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
172682
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24660
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
236087
303.5 IPS |
|
|
Style Transfer (Q)
|
96% |
298383
385.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5808
214.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48333
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83210
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6063
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6130
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3882
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16258
280.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17713
306.1 IPS |
