iPad Pro 13-inch (M4)
Geekbench AI Score
4924
Single Precision Score
36240
Half Precision Score
51608
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | yazkimkim |
| Upload Date | September 08 2025 10:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
16893
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
24614
4.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22174
359.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30697
497.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10044
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122948
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232425
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
100% |
17825
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25389
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4243
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
42356
503.3 IPS |
|
|
Face Detection (Q)
|
100% |
61935
735.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8482
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98541
759.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
168513
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24332
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233889
300.7 IPS |
|
|
Style Transfer (Q)
|
96% |
320295
413.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6095
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50954
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84531
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3283
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5746
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5732
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4561
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16656
286.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18558
320.7 IPS |
