iPad Pro 13-inch (M4)
Geekbench AI Score
4714
Single Precision Score
36199
Half Precision Score
51207
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 01 2025 12:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2012
374.2 IPS |
|
|
Image Classification (HP)
|
100% |
17369
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24497
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21980
356.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30300
491.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10067
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123396
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
233332
273.5 IPS |
|
|
Object Detection (SP)
|
100% |
2251
178.5 IPS |
|
|
Object Detection (HP)
|
100% |
18089
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25581
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4008
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
42145
500.8 IPS |
|
|
Face Detection (Q)
|
100% |
62683
744.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8286
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98489
758.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
167534
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25252
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
233222
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298267
384.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5868
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48666
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83122
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5874
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5990
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3889
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16386
282.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17941
310.0 IPS |
