MacBook Pro (13-inch, 2022)
Geekbench ML Score
9383
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 07:54 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
3294
616.5 IPS |
|
|
Image Classification (F16)
|
100% |
11028
2.06 KIPS |
|
|
Image Classification (I8)
|
99% |
11545
2.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1321
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2002
33.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1729
28.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
22979
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
95037
115.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
96493
116.8 IPS |
|
|
Object Detection (F32)
|
100% |
2297
171.5 IPS |
|
|
Object Detection (F16)
|
100% |
5172
386.2 IPS |
|
|
Object Detection (I8)
|
97% |
2879
214.9 IPS |
|
|
Face Detection (F32)
|
100% |
8953
106.5 IPS |
|
|
Face Detection (F16)
|
97% |
19749
234.8 IPS |
|
|
Face Detection (I8)
|
96% |
19377
230.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
10255
79.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
49435
383.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
53665
416.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40817
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
146093
192.2 IPS |
|
|
Style Transfer (I8)
|
100% |
144599
190.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7235
258.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33991
1.21 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34444
1.23 KIPS |
|
|
Text Classification (F32)
|
100% |
2035
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3349
4.81 KIPS |
|
|
Text Classification (I8)
|
96% |
3358
4.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
707
13.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1407
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
692
12.7 IPS |
