iPad Pro 13-inch (M4)
Geekbench AI Score
5012
Single Precision Score
36318
Half Precision Score
51556
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ks5z |
| Upload Date | March 19 2026 12:55 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2122
394.7 IPS |
|
|
Image Classification (HP)
|
100% |
16985
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
22989
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22353
362.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30794
499.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122700
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232936
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2454
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
17931
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26061
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4292
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
42729
507.7 IPS |
|
|
Face Detection (Q)
|
100% |
62565
743.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8608
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98809
761.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
163582
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24369
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234394
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
322061
415.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6168
227.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50742
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88202
3.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3448
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
5788
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5867
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4587
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16447
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18103
312.8 IPS |
