MacBook Pro (13-inch, 2022)
Geekbench ML Score
9902
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 21 2026 07:04 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.5 (Build 25F5058e) |
| 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 | 3.15 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% |
2016
377.2 IPS |
|
|
Image Classification (F16)
|
100% |
10335
1.93 KIPS |
|
|
Image Classification (I8)
|
99% |
11611
2.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1242
20.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1844
30.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1810
30.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
18220
22.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
91417
110.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
94627
114.6 IPS |
|
|
Object Detection (F32)
|
100% |
2799
209.0 IPS |
|
|
Object Detection (F16)
|
100% |
5784
431.8 IPS |
|
|
Object Detection (I8)
|
97% |
1998
149.2 IPS |
|
|
Face Detection (F32)
|
100% |
9492
112.9 IPS |
|
|
Face Detection (F16)
|
98% |
20630
245.3 IPS |
|
|
Face Detection (I8)
|
97% |
20879
248.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12049
93.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
49538
384.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
51337
398.1 IPS |
|
|
Style Transfer (F32)
|
100% |
36973
48.6 IPS |
|
|
Style Transfer (F16)
|
100% |
145507
191.4 IPS |
|
|
Style Transfer (I8)
|
100% |
141519
186.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9738
347.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35216
1.26 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32498
1.16 KIPS |
|
|
Text Classification (F32)
|
100% |
3566
5.13 KIPS |
|
|
Text Classification (F16)
|
100% |
5579
8.02 KIPS |
|
|
Text Classification (I8)
|
96% |
4934
7.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
1051
19.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1370
25.2 IPS |
|
|
Machine Translation (I8)
|
99% |
969
17.8 IPS |
