MacBook Pro (13-inch, 2022)
Geekbench ML Score
9604
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 27 2025 06:25 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E246) |
| 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 | 3.46 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% |
3354
627.7 IPS |
|
|
Image Classification (F16)
|
100% |
10252
1.92 KIPS |
|
|
Image Classification (I8)
|
99% |
11029
2.06 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1540
25.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1952
32.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1714
28.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23154
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
93289
113.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
96404
116.7 IPS |
|
|
Object Detection (F32)
|
100% |
1375
102.7 IPS |
|
|
Object Detection (F16)
|
100% |
6173
460.9 IPS |
|
|
Object Detection (I8)
|
97% |
2866
214.0 IPS |
|
|
Face Detection (F32)
|
100% |
9050
107.6 IPS |
|
|
Face Detection (F16)
|
97% |
19365
230.3 IPS |
|
|
Face Detection (I8)
|
96% |
18330
217.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
10921
84.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
47455
368.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
46170
358.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40582
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
150093
197.4 IPS |
|
|
Style Transfer (I8)
|
100% |
146655
192.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8604
307.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34425
1.23 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35044
1.25 KIPS |
|
|
Text Classification (F32)
|
100% |
2150
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3633
5.22 KIPS |
|
|
Text Classification (I8)
|
96% |
3319
4.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
1072
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1398
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1088
20.0 IPS |
