MacBook Pro (13-inch, 2022)
Geekbench ML Score
3565
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 07:19 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 | 3.48 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% |
1382
258.6 IPS |
|
|
Image Classification (F16)
|
100% |
2308
431.8 IPS |
|
|
Image Classification (I8)
|
99% |
2504
468.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
867
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1169
19.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1113
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6560
7.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
14277
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14275
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
960
71.7 IPS |
|
|
Object Detection (F16)
|
100% |
1364
101.9 IPS |
|
|
Object Detection (I8)
|
97% |
855
63.9 IPS |
|
|
Face Detection (F32)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (F16)
|
97% |
5863
69.7 IPS |
|
|
Face Detection (I8)
|
97% |
5585
66.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5594
43.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11581
89.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11620
90.1 IPS |
|
|
Style Transfer (F32)
|
100% |
18224
24.0 IPS |
|
|
Style Transfer (F16)
|
100% |
13452
17.7 IPS |
|
|
Style Transfer (I8)
|
100% |
27795
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4173
149.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5034
179.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3342
119.4 IPS |
|
|
Text Classification (F32)
|
100% |
2052
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3472
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3463
4.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
1372
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1626
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1369
25.2 IPS |
