MacBook Pro (13-inch, 2022)
Geekbench ML Score
3812
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 23 2025 07:54 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.28 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% |
1197
224.0 IPS |
|
|
Image Classification (F16)
|
100% |
2387
446.7 IPS |
|
|
Image Classification (I8)
|
99% |
2361
441.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
772
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1153
19.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1023
17.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6297
7.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
14031
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14098
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1427
106.5 IPS |
|
|
Object Detection (F16)
|
100% |
2468
184.2 IPS |
|
|
Object Detection (I8)
|
97% |
1344
100.4 IPS |
|
|
Face Detection (F32)
|
100% |
3081
36.6 IPS |
|
|
Face Detection (F16)
|
97% |
5824
69.3 IPS |
|
|
Face Detection (I8)
|
97% |
5757
68.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5534
42.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11636
90.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
11755
91.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18216
24.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27058
35.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27192
35.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4217
150.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4993
178.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5061
180.8 IPS |
|
|
Text Classification (F32)
|
100% |
2036
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3439
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3459
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
1371
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1617
29.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1257
23.1 IPS |
