MacBook Pro (13-inch, 2022)
Geekbench ML Score
10427
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 27 2026 06:34 PM |
| Views | 5 |
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 | 3.48 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% |
3350
626.9 IPS |
|
|
Image Classification (F16)
|
100% |
9594
1.80 KIPS |
|
|
Image Classification (I8)
|
99% |
11963
2.24 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1575
26.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1819
30.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1935
32.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23363
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
94788
114.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
83179
100.7 IPS |
|
|
Object Detection (F32)
|
100% |
2872
214.4 IPS |
|
|
Object Detection (F16)
|
100% |
5394
402.7 IPS |
|
|
Object Detection (I8)
|
97% |
2807
209.6 IPS |
|
|
Face Detection (F32)
|
100% |
6879
81.8 IPS |
|
|
Face Detection (F16)
|
98% |
20738
246.6 IPS |
|
|
Face Detection (I8)
|
97% |
20658
245.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16248
126.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
49802
386.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
52296
405.6 IPS |
|
|
Style Transfer (F32)
|
100% |
41048
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
151071
198.7 IPS |
|
|
Style Transfer (I8)
|
100% |
148330
195.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6624
236.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
36239
1.29 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36420
1.30 KIPS |
|
|
Text Classification (F32)
|
100% |
3685
5.30 KIPS |
|
|
Text Classification (F16)
|
100% |
5620
8.08 KIPS |
|
|
Text Classification (I8)
|
96% |
5423
7.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
1150
21.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1394
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1139
21.0 IPS |
