MacBook Pro (13-inch, 2022)
Geekbench ML Score
9513
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2025 05:44 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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 | 3.30 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% |
1480
277.0 IPS |
|
|
Image Classification (F16)
|
100% |
10040
1.88 KIPS |
|
|
Image Classification (I8)
|
99% |
11353
2.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1602
26.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2002
33.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1603
26.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
20328
24.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
93404
113.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
96189
116.5 IPS |
|
|
Object Detection (F32)
|
100% |
2792
208.5 IPS |
|
|
Object Detection (F16)
|
100% |
5026
375.2 IPS |
|
|
Object Detection (I8)
|
97% |
2032
151.7 IPS |
|
|
Face Detection (F32)
|
100% |
7471
88.8 IPS |
|
|
Face Detection (F16)
|
97% |
20478
243.5 IPS |
|
|
Face Detection (I8)
|
96% |
20498
243.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16658
129.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
53155
412.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
49248
381.9 IPS |
|
|
Style Transfer (F32)
|
100% |
35107
46.2 IPS |
|
|
Style Transfer (F16)
|
100% |
150066
197.4 IPS |
|
|
Style Transfer (I8)
|
100% |
148682
195.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8789
313.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34871
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36517
1.30 KIPS |
|
|
Text Classification (F32)
|
100% |
2062
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3544
5.09 KIPS |
|
|
Text Classification (I8)
|
96% |
3468
4.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
1063
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1402
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1095
20.2 IPS |
