MacBook Pro (13-inch, 2022)
Geekbench ML Score
10241
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 05 2025 06:47 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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 | 3.37 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% |
3367
630.1 IPS |
|
|
Image Classification (F16)
|
100% |
10776
2.02 KIPS |
|
|
Image Classification (I8)
|
99% |
12621
2.36 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1550
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2024
33.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2042
34.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23393
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
95073
115.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
97081
117.6 IPS |
|
|
Object Detection (F32)
|
100% |
2709
202.3 IPS |
|
|
Object Detection (F16)
|
100% |
5668
423.2 IPS |
|
|
Object Detection (I8)
|
97% |
2790
208.3 IPS |
|
|
Face Detection (F32)
|
100% |
9452
112.4 IPS |
|
|
Face Detection (F16)
|
97% |
20581
244.7 IPS |
|
|
Face Detection (I8)
|
96% |
20509
243.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16392
127.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
53441
414.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
50903
394.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40340
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
151693
199.5 IPS |
|
|
Style Transfer (I8)
|
100% |
145144
190.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8926
318.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
37448
1.34 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32932
1.18 KIPS |
|
|
Text Classification (F32)
|
100% |
2106
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3404
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3577
5.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
1079
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1419
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1103
20.3 IPS |
