MacBook Pro (13-inch, 2022)
Geekbench ML Score
9709
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 24 2025 07:00 PM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
3237
605.7 IPS |
|
|
Image Classification (F16)
|
100% |
10328
1.93 KIPS |
|
|
Image Classification (I8)
|
99% |
9230
1.73 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1076
18.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1843
30.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1800
30.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23521
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
94704
114.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
97458
118.0 IPS |
|
|
Object Detection (F32)
|
100% |
2652
198.0 IPS |
|
|
Object Detection (F16)
|
100% |
5206
388.7 IPS |
|
|
Object Detection (I8)
|
97% |
2605
194.5 IPS |
|
|
Face Detection (F32)
|
100% |
9226
109.7 IPS |
|
|
Face Detection (F16)
|
97% |
20257
240.9 IPS |
|
|
Face Detection (I8)
|
96% |
19835
235.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16276
126.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
44189
342.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
57664
447.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40727
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
149228
196.3 IPS |
|
|
Style Transfer (I8)
|
100% |
144060
189.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8611
307.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34923
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35767
1.28 KIPS |
|
|
Text Classification (F32)
|
100% |
1703
2.45 KIPS |
|
|
Text Classification (F16)
|
100% |
3516
5.05 KIPS |
|
|
Text Classification (I8)
|
96% |
3430
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
1104
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1386
25.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1055
19.4 IPS |
