iPad Pro 13-inch (M4)
Geekbench AI Score
4933
Single Precision Score
36218
Half Precision Score
51108
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 01:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2108
392.1 IPS |
|
|
Image Classification (HP)
|
100% |
17114
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
24342
4.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22380
362.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30613
496.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10057
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122978
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
231165
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
100% |
17681
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25479
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4206
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
43381
515.5 IPS |
|
|
Face Detection (Q)
|
100% |
62819
746.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8506
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98603
759.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
162383
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24216
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232550
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
320592
413.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6107
225.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50433
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84573
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3280
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5667
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5531
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4552
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16407
282.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18110
313.0 IPS |
