MacBook Pro (13-inch, 2022)
Geekbench ML Score
9217
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 07 2025 08:06 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5040f) |
| 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% |
2061
385.7 IPS |
|
|
Image Classification (F16)
|
100% |
11554
2.16 KIPS |
|
|
Image Classification (I8)
|
99% |
12133
2.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1155
19.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1900
31.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1684
28.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22955
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
96122
116.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
98645
119.5 IPS |
|
|
Object Detection (F32)
|
100% |
2829
211.2 IPS |
|
|
Object Detection (F16)
|
100% |
4778
356.7 IPS |
|
|
Object Detection (I8)
|
97% |
2828
211.1 IPS |
|
|
Face Detection (F32)
|
100% |
8782
104.4 IPS |
|
|
Face Detection (F16)
|
97% |
19741
234.7 IPS |
|
|
Face Detection (I8)
|
96% |
18968
225.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
10595
82.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
53710
416.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
49359
382.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40398
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
145096
190.9 IPS |
|
|
Style Transfer (I8)
|
100% |
146161
192.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6242
222.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35998
1.29 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35272
1.26 KIPS |
|
|
Text Classification (F32)
|
100% |
2065
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3360
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3401
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
677
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1410
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
691
12.7 IPS |
