iPad Pro 13-inch (M4)
Geekbench AI Score
4945
Single Precision Score
36334
Half Precision Score
51075
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 05:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2114
393.2 IPS |
|
|
Image Classification (HP)
|
100% |
17686
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
23306
4.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22228
360.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30599
496.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10017
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122738
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232375
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
100% |
17778
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26987
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4291
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
42900
509.7 IPS |
|
|
Face Detection (Q)
|
100% |
62502
742.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8573
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98551
759.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
162395
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24522
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
232274
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
319705
412.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6084
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51491
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82480
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5630
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5580
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4550
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16422
282.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18088
312.6 IPS |
