MacBook Pro (13-inch, 2022)
Geekbench ML Score
9990
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 17 2025 06:23 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.48 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% |
3430
641.9 IPS |
|
|
Image Classification (F16)
|
100% |
10415
1.95 KIPS |
|
|
Image Classification (I8)
|
99% |
11887
2.22 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1484
24.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2015
33.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1988
33.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23267
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
94561
114.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
86685
105.0 IPS |
|
|
Object Detection (F32)
|
100% |
2846
212.5 IPS |
|
|
Object Detection (F16)
|
100% |
5175
386.4 IPS |
|
|
Object Detection (I8)
|
97% |
2821
210.6 IPS |
|
|
Face Detection (F32)
|
100% |
9421
112.0 IPS |
|
|
Face Detection (F16)
|
97% |
20244
240.7 IPS |
|
|
Face Detection (I8)
|
96% |
20390
242.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16105
124.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
48129
373.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
48790
378.4 IPS |
|
|
Style Transfer (F32)
|
100% |
40941
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
143167
188.3 IPS |
|
|
Style Transfer (I8)
|
100% |
151163
198.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7107
253.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33037
1.18 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33032
1.18 KIPS |
|
|
Text Classification (F32)
|
100% |
2157
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3592
5.16 KIPS |
|
|
Text Classification (I8)
|
96% |
3678
5.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
1106
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1412
26.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1079
19.8 IPS |
