MacBook Pro (13-inch, 2022)
Geekbench ML Score
9454
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 17 2025 07:00 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3330
623.1 IPS |
|
|
Image Classification (F16)
|
100% |
10306
1.93 KIPS |
|
|
Image Classification (I8)
|
99% |
11169
2.09 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1343
22.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2009
33.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1914
32.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
22967
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
94390
114.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
89798
108.7 IPS |
|
|
Object Detection (F32)
|
100% |
2828
211.1 IPS |
|
|
Object Detection (F16)
|
100% |
5811
433.8 IPS |
|
|
Object Detection (I8)
|
97% |
2830
211.3 IPS |
|
|
Face Detection (F32)
|
100% |
7813
92.9 IPS |
|
|
Face Detection (F16)
|
97% |
16179
192.4 IPS |
|
|
Face Detection (I8)
|
96% |
19559
232.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15664
121.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
44134
342.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
64042
496.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40487
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
128195
168.6 IPS |
|
|
Style Transfer (I8)
|
100% |
139653
183.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6849
244.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
31372
1.12 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
27800
992.8 IPS |
|
|
Text Classification (F32)
|
100% |
2100
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
2783
4.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3467
4.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
895
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1396
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
864
15.9 IPS |
