MacBook Pro (13-inch, 2022)
Geekbench ML Score
9404
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 03 2026 07:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| 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 | 3.29 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% |
1951
365.0 IPS |
|
|
Image Classification (F16)
|
100% |
10653
1.99 KIPS |
|
|
Image Classification (I8)
|
99% |
11439
2.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1400
23.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1754
29.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1221
20.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
19650
23.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
64471
78.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
76525
92.7 IPS |
|
|
Object Detection (F32)
|
100% |
1918
143.2 IPS |
|
|
Object Detection (F16)
|
100% |
4542
339.1 IPS |
|
|
Object Detection (I8)
|
97% |
2838
211.9 IPS |
|
|
Face Detection (F32)
|
100% |
9208
109.5 IPS |
|
|
Face Detection (F16)
|
98% |
9700
115.3 IPS |
|
|
Face Detection (I8)
|
97% |
15549
184.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16307
126.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
60075
465.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
63473
492.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40008
52.6 IPS |
|
|
Style Transfer (F16)
|
100% |
144170
189.6 IPS |
|
|
Style Transfer (I8)
|
100% |
136829
180.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8021
286.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35233
1.26 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36119
1.29 KIPS |
|
|
Text Classification (F32)
|
100% |
3057
4.39 KIPS |
|
|
Text Classification (F16)
|
100% |
5400
7.76 KIPS |
|
|
Text Classification (I8)
|
96% |
5475
7.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
1083
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1318
24.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1033
19.0 IPS |
