MacBook Pro (13-inch, 2022)
Geekbench ML Score
9646
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 27 2025 07:55 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 3.21 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% |
2074
388.1 IPS |
|
|
Image Classification (F16)
|
100% |
8876
1.66 KIPS |
|
|
Image Classification (I8)
|
99% |
11972
2.24 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1609
26.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1915
32.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1993
33.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22518
27.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
93332
113.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
96927
117.4 IPS |
|
|
Object Detection (F32)
|
100% |
2756
205.7 IPS |
|
|
Object Detection (F16)
|
100% |
4951
369.7 IPS |
|
|
Object Detection (I8)
|
97% |
2824
210.8 IPS |
|
|
Face Detection (F32)
|
100% |
9512
113.1 IPS |
|
|
Face Detection (F16)
|
97% |
20361
242.1 IPS |
|
|
Face Detection (I8)
|
96% |
20443
243.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16237
125.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
49952
387.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
51780
401.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40579
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
148235
195.0 IPS |
|
|
Style Transfer (I8)
|
100% |
136036
178.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8262
295.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
36435
1.30 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35064
1.25 KIPS |
|
|
Text Classification (F32)
|
100% |
1045
1.50 KIPS |
|
|
Text Classification (F16)
|
100% |
3417
4.91 KIPS |
|
|
Text Classification (I8)
|
96% |
3479
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1125
20.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1399
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1139
21.0 IPS |
