MacBook Pro (13-inch, 2022)
Geekbench ML Score
9842
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 28 2025 06:22 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3497
654.4 IPS |
|
|
Image Classification (F16)
|
100% |
10289
1.93 KIPS |
|
|
Image Classification (I8)
|
99% |
11402
2.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1544
25.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1926
32.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1506
25.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23168
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
80213
97.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
75407
91.3 IPS |
|
|
Object Detection (F32)
|
100% |
1874
139.9 IPS |
|
|
Object Detection (F16)
|
100% |
5797
432.8 IPS |
|
|
Object Detection (I8)
|
97% |
2837
211.8 IPS |
|
|
Face Detection (F32)
|
100% |
9160
108.9 IPS |
|
|
Face Detection (F16)
|
97% |
19394
230.6 IPS |
|
|
Face Detection (I8)
|
96% |
19581
232.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16550
128.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
49813
386.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
52529
407.4 IPS |
|
|
Style Transfer (F32)
|
100% |
40635
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
149929
197.2 IPS |
|
|
Style Transfer (I8)
|
100% |
149849
197.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9706
346.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34907
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34391
1.23 KIPS |
|
|
Text Classification (F32)
|
100% |
2133
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3582
5.15 KIPS |
|
|
Text Classification (I8)
|
96% |
3591
5.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
1118
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1418
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1122
20.6 IPS |
