MacBook Pro (13-inch, 2022)
Geekbench ML Score
9570
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 26 2025 06:47 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 3.47 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% |
3478
650.8 IPS |
|
|
Image Classification (F16)
|
100% |
10304
1.93 KIPS |
|
|
Image Classification (I8)
|
99% |
11979
2.24 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1500
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1981
33.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1773
29.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23245
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
94157
114.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
96531
116.9 IPS |
|
|
Object Detection (F32)
|
100% |
2398
179.1 IPS |
|
|
Object Detection (F16)
|
100% |
5603
418.3 IPS |
|
|
Object Detection (I8)
|
97% |
2473
184.6 IPS |
|
|
Face Detection (F32)
|
100% |
7178
85.3 IPS |
|
|
Face Detection (F16)
|
97% |
18839
224.0 IPS |
|
|
Face Detection (I8)
|
96% |
19058
226.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15542
120.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
42354
328.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
67526
523.7 IPS |
|
|
Style Transfer (F32)
|
100% |
35797
47.1 IPS |
|
|
Style Transfer (F16)
|
100% |
147436
193.9 IPS |
|
|
Style Transfer (I8)
|
100% |
146192
192.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4727
168.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35250
1.26 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36488
1.30 KIPS |
|
|
Text Classification (F32)
|
100% |
2096
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3453
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3477
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1059
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1109
20.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1061
19.5 IPS |
