MacBook Pro (13-inch, 2022)
Geekbench ML Score
9109
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 06 2024 06:06 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C98) |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1515
283.6 IPS |
|
|
Image Classification (F16)
|
100% |
9175
1.72 KIPS |
|
|
Image Classification (I8)
|
99% |
10285
1.92 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1300
21.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1912
31.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1996
33.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22698
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
90772
109.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
68744
83.2 IPS |
|
|
Object Detection (F32)
|
100% |
2861
213.6 IPS |
|
|
Object Detection (F16)
|
100% |
5530
412.8 IPS |
|
|
Object Detection (I8)
|
97% |
2854
213.1 IPS |
|
|
Face Detection (F32)
|
100% |
9138
108.7 IPS |
|
|
Face Detection (F16)
|
97% |
18895
224.7 IPS |
|
|
Face Detection (I8)
|
96% |
19009
226.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
14523
112.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
51076
396.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
49185
381.4 IPS |
|
|
Style Transfer (F32)
|
100% |
40350
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
146658
192.9 IPS |
|
|
Style Transfer (I8)
|
100% |
131613
173.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5861
209.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34127
1.22 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35987
1.29 KIPS |
|
|
Text Classification (F32)
|
100% |
2089
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3450
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3167
4.55 KIPS |
|
|
Machine Translation (F32)
|
100% |
778
14.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1391
25.6 IPS |
|
|
Machine Translation (I8)
|
99% |
809
14.9 IPS |
