MacBook Pro (13-inch, 2022)
Geekbench ML Score
9451
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 06 2025 02:03 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.32 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% |
3459
647.2 IPS |
|
|
Image Classification (F16)
|
100% |
10364
1.94 KIPS |
|
|
Image Classification (I8)
|
99% |
11745
2.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1171
19.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1915
32.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1415
23.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23482
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
77934
94.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
89205
108.0 IPS |
|
|
Object Detection (F32)
|
100% |
1653
123.4 IPS |
|
|
Object Detection (F16)
|
100% |
6060
452.4 IPS |
|
|
Object Detection (I8)
|
97% |
2852
212.9 IPS |
|
|
Face Detection (F32)
|
100% |
8946
106.4 IPS |
|
|
Face Detection (F16)
|
97% |
18294
217.5 IPS |
|
|
Face Detection (I8)
|
96% |
19495
231.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16495
127.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
49936
387.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
50577
392.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40542
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
149709
196.9 IPS |
|
|
Style Transfer (I8)
|
100% |
145304
191.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7317
261.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35060
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33823
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
2131
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3592
5.16 KIPS |
|
|
Text Classification (I8)
|
96% |
3563
5.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
879
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1401
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
865
15.9 IPS |
