MacBook Pro (13-inch, 2022)
Geekbench ML Score
3811
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 30 2024 07:08 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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 | 3.47 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% |
1330
248.9 IPS |
|
|
Image Classification (F16)
|
100% |
2401
449.3 IPS |
|
|
Image Classification (I8)
|
99% |
2375
444.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
791
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1029
17.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1114
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6362
7.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
13968
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13879
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1360
101.6 IPS |
|
|
Object Detection (F16)
|
100% |
2333
174.2 IPS |
|
|
Object Detection (I8)
|
97% |
1437
107.3 IPS |
|
|
Face Detection (F32)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (F16)
|
97% |
5856
69.6 IPS |
|
|
Face Detection (I8)
|
97% |
5788
68.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5609
43.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11560
89.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
11224
87.0 IPS |
|
|
Style Transfer (F32)
|
100% |
18135
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27968
36.8 IPS |
|
|
Style Transfer (I8)
|
100% |
27893
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4095
146.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4783
170.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4984
178.0 IPS |
|
|
Text Classification (F32)
|
100% |
2043
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3342
4.80 KIPS |
|
|
Text Classification (I8)
|
96% |
3368
4.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
1386
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1572
28.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1353
24.9 IPS |
