MacBook Pro (13-inch, 2022)
Geekbench ML Score
3850
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 12 2024 03:58 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1278
239.1 IPS |
|
|
Image Classification (F16)
|
100% |
2339
437.7 IPS |
|
|
Image Classification (I8)
|
99% |
2388
446.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
860
14.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1134
18.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1022
17.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6264
7.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
13883
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
14329
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1439
107.5 IPS |
|
|
Object Detection (F16)
|
100% |
2465
184.0 IPS |
|
|
Object Detection (I8)
|
97% |
1430
106.8 IPS |
|
|
Face Detection (F32)
|
100% |
3044
36.2 IPS |
|
|
Face Detection (F16)
|
97% |
5870
69.8 IPS |
|
|
Face Detection (I8)
|
97% |
5466
65.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5451
42.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11750
91.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
11760
91.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18333
24.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27328
35.9 IPS |
|
|
Style Transfer (I8)
|
100% |
28295
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4253
151.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5071
181.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5060
180.7 IPS |
|
|
Text Classification (F32)
|
100% |
2007
2.88 KIPS |
|
|
Text Classification (F16)
|
100% |
3439
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3503
5.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1347
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1659
30.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1333
24.5 IPS |
