MacBook Pro (13-inch, 2022)
Geekbench ML Score
3766
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 07 2025 08:00 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5040f) |
| 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 | 3.46 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% |
1347
252.0 IPS |
|
|
Image Classification (F16)
|
100% |
2336
437.2 IPS |
|
|
Image Classification (I8)
|
99% |
2318
433.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
755
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1120
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1116
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5872
7.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
13880
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13845
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1361
101.6 IPS |
|
|
Object Detection (F16)
|
100% |
2327
173.8 IPS |
|
|
Object Detection (I8)
|
97% |
1431
106.8 IPS |
|
|
Face Detection (F32)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (F16)
|
97% |
5479
65.1 IPS |
|
|
Face Detection (I8)
|
97% |
5782
68.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5330
41.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10595
82.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
11249
87.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18013
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27554
36.2 IPS |
|
|
Style Transfer (I8)
|
100% |
27640
36.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3855
137.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4948
176.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5063
180.8 IPS |
|
|
Text Classification (F32)
|
100% |
2042
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3360
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3350
4.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
1360
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1571
28.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1337
24.6 IPS |
