MacBook Pro (13-inch, 2022)
Geekbench ML Score
9334
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 28 2025 03:23 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 | 3.03 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% |
3152
589.7 IPS |
|
|
Image Classification (F16)
|
100% |
10572
1.98 KIPS |
|
|
Image Classification (I8)
|
99% |
11398
2.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1258
21.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1793
29.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1894
31.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22629
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
94355
114.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
68753
83.3 IPS |
|
|
Object Detection (F32)
|
100% |
2643
197.3 IPS |
|
|
Object Detection (F16)
|
100% |
5719
426.9 IPS |
|
|
Object Detection (I8)
|
97% |
2114
157.8 IPS |
|
|
Face Detection (F32)
|
100% |
9278
110.3 IPS |
|
|
Face Detection (F16)
|
97% |
20415
242.7 IPS |
|
|
Face Detection (I8)
|
96% |
19341
230.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15877
123.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
47041
364.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
70503
546.7 IPS |
|
|
Style Transfer (F32)
|
100% |
38831
51.1 IPS |
|
|
Style Transfer (F16)
|
100% |
144379
189.9 IPS |
|
|
Style Transfer (I8)
|
100% |
150784
198.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4967
177.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33930
1.21 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33532
1.20 KIPS |
|
|
Text Classification (F32)
|
100% |
2108
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
1995
2.87 KIPS |
|
|
Text Classification (I8)
|
96% |
3447
4.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
974
17.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1402
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
913
16.8 IPS |
