MacBook Pro (13-inch, 2022)
Geekbench ML Score
3768
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 11 2024 02:05 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 | 3.45 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% |
1323
247.6 IPS |
|
|
Image Classification (F16)
|
100% |
2420
452.8 IPS |
|
|
Image Classification (I8)
|
99% |
2333
436.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
758
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1019
17.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1130
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6520
7.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
13926
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13903
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1350
100.8 IPS |
|
|
Object Detection (F16)
|
100% |
2332
174.1 IPS |
|
|
Object Detection (I8)
|
97% |
1366
102.0 IPS |
|
|
Face Detection (F32)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (F16)
|
97% |
5772
68.6 IPS |
|
|
Face Detection (I8)
|
97% |
5343
63.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4867
37.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11299
87.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10388
80.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17985
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27833
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27827
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4116
147.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4830
172.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4908
175.3 IPS |
|
|
Text Classification (F32)
|
100% |
2061
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3461
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
3469
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
1392
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1579
29.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1386
25.5 IPS |
