MacBook Pro (13-inch, 2022)
Geekbench ML Score
3806
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 23 2024 06:49 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| 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 | 3.30 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% |
1308
244.7 IPS |
|
|
Image Classification (F16)
|
100% |
2342
438.2 IPS |
|
|
Image Classification (I8)
|
99% |
2346
439.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
849
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1122
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1008
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6278
7.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
13988
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13922
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1435
107.1 IPS |
|
|
Object Detection (F16)
|
100% |
2476
184.8 IPS |
|
|
Object Detection (I8)
|
97% |
1438
107.4 IPS |
|
|
Face Detection (F32)
|
100% |
3014
35.8 IPS |
|
|
Face Detection (F16)
|
97% |
5824
69.2 IPS |
|
|
Face Detection (I8)
|
97% |
5396
64.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5479
42.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11595
89.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
11583
89.8 IPS |
|
|
Style Transfer (F32)
|
100% |
18115
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26774
35.2 IPS |
|
|
Style Transfer (I8)
|
100% |
27185
35.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4184
149.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4974
177.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4943
176.5 IPS |
|
|
Text Classification (F32)
|
100% |
1998
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
3274
4.71 KIPS |
|
|
Text Classification (I8)
|
96% |
3392
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
1312
24.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1650
30.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1331
24.5 IPS |
