MacBook Pro (13-inch, 2022)
Geekbench ML Score
9826
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 11 2025 07:56 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.45 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% |
3396
635.5 IPS |
|
|
Image Classification (F16)
|
100% |
12493
2.34 KIPS |
|
|
Image Classification (I8)
|
99% |
11946
2.24 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1192
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1957
32.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1899
31.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23143
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
97054
117.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
99316
120.3 IPS |
|
|
Object Detection (F32)
|
100% |
2932
218.9 IPS |
|
|
Object Detection (F16)
|
100% |
5574
416.1 IPS |
|
|
Object Detection (I8)
|
97% |
2842
212.2 IPS |
|
|
Face Detection (F32)
|
100% |
9132
108.6 IPS |
|
|
Face Detection (F16)
|
97% |
19912
236.8 IPS |
|
|
Face Detection (I8)
|
96% |
19778
235.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16480
127.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
60744
471.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
48984
379.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40789
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
134534
177.0 IPS |
|
|
Style Transfer (I8)
|
100% |
134261
176.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6809
243.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34867
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36306
1.30 KIPS |
|
|
Text Classification (F32)
|
100% |
2075
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3452
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3476
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
787
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1439
26.5 IPS |
|
|
Machine Translation (I8)
|
99% |
806
14.8 IPS |
