MacBook Pro (13-inch, 2022)
Geekbench ML Score
9994
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 02 2026 08:29 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| 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% |
3383
633.1 IPS |
|
|
Image Classification (F16)
|
100% |
10378
1.94 KIPS |
|
|
Image Classification (I8)
|
99% |
11581
2.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1387
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1932
32.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2018
33.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23138
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
93297
113.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
97184
117.7 IPS |
|
|
Object Detection (F32)
|
100% |
2869
214.2 IPS |
|
|
Object Detection (F16)
|
100% |
5271
393.5 IPS |
|
|
Object Detection (I8)
|
97% |
2836
211.7 IPS |
|
|
Face Detection (F32)
|
100% |
9712
115.5 IPS |
|
|
Face Detection (F16)
|
97% |
20219
240.4 IPS |
|
|
Face Detection (I8)
|
96% |
20169
239.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16163
125.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
49323
382.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
50394
390.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40751
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
144848
190.5 IPS |
|
|
Style Transfer (I8)
|
100% |
150199
197.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7028
251.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34499
1.23 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35509
1.27 KIPS |
|
|
Text Classification (F32)
|
100% |
2077
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3311
4.76 KIPS |
|
|
Text Classification (I8)
|
96% |
3343
4.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
1176
21.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1409
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1075
19.8 IPS |
