MacBook Pro (13-inch, 2022)
Geekbench ML Score
9672
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 06 2025 07:07 PM |
| Views | 9 |
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 | 3.42 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% |
3481
651.4 IPS |
|
|
Image Classification (F16)
|
100% |
11954
2.24 KIPS |
|
|
Image Classification (I8)
|
99% |
11267
2.11 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1360
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1921
32.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1264
21.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23309
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
95131
115.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
95378
115.5 IPS |
|
|
Object Detection (F32)
|
100% |
1696
126.7 IPS |
|
|
Object Detection (F16)
|
100% |
6079
453.9 IPS |
|
|
Object Detection (I8)
|
97% |
2835
211.6 IPS |
|
|
Face Detection (F32)
|
100% |
7952
94.6 IPS |
|
|
Face Detection (F16)
|
97% |
17959
213.5 IPS |
|
|
Face Detection (I8)
|
96% |
19402
230.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16046
124.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
55320
429.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
66074
512.4 IPS |
|
|
Style Transfer (F32)
|
100% |
40764
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
137905
181.4 IPS |
|
|
Style Transfer (I8)
|
100% |
150533
198.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7236
258.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
31164
1.11 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
37441
1.34 KIPS |
|
|
Text Classification (F32)
|
100% |
2120
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3613
5.19 KIPS |
|
|
Text Classification (I8)
|
96% |
3646
5.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
864
15.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1396
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
983
18.1 IPS |
