iPad Pro 13-inch (M4)
Geekbench AI Score
4966
Single Precision Score
36302
Half Precision Score
51179
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 26 2026 09:42 AM |
| 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% |
2119
394.0 IPS |
|
|
Image Classification (HP)
|
100% |
17064
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
23398
4.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22598
366.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30861
500.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10055
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123218
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232920
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
17809
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25871
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4360
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
42785
508.4 IPS |
|
|
Face Detection (Q)
|
100% |
62639
744.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8614
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98929
762.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
168694
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24346
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232245
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
320229
413.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6091
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51361
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82068
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5566
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5617
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4577
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16716
287.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18167
313.9 IPS |
