iPad Pro 13-inch (M4)
Geekbench AI Score
9872
Single Precision Score
10821
Half Precision Score
11115
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | yazkimkim |
| Upload Date | September 08 2025 10:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
4528
842.0 IPS |
|
|
Image Classification (HP)
|
100% |
4990
927.9 IPS |
|
|
Image Classification (Q)
|
96% |
4607
860.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7057
114.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7966
129.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7628
123.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
26930
31.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31066
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30117
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4570
362.5 IPS |
|
|
Object Detection (HP)
|
100% |
5212
413.4 IPS |
|
|
Object Detection (Q)
|
92% |
4813
384.2 IPS |
|
|
Face Detection (SP)
|
100% |
12484
148.3 IPS |
|
|
Face Detection (HP)
|
100% |
16678
198.2 IPS |
|
|
Face Detection (Q)
|
100% |
13453
159.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19989
154.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22381
172.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
20600
160.9 IPS |
|
|
Style Transfer (SP)
|
100% |
54741
70.4 IPS |
|
|
Style Transfer (HP)
|
100% |
66680
85.7 IPS |
|
|
Style Transfer (Q)
|
96% |
64904
83.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11403
421.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11686
431.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10276
379.5 IPS |
|
|
Text Classification (SP)
|
100% |
3300
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5727
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5922
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4350
74.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2054
35.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5163
89.2 IPS |
