MacBook Pro (13-inch, 2022)
Geekbench ML Score
9649
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 19 2025 10:24 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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% |
3476
650.4 IPS |
|
|
Image Classification (F16)
|
100% |
10010
1.87 KIPS |
|
|
Image Classification (I8)
|
99% |
10873
2.03 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1186
19.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1870
31.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1990
33.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23159
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
88343
107.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
93048
112.7 IPS |
|
|
Object Detection (F32)
|
100% |
2162
161.4 IPS |
|
|
Object Detection (F16)
|
100% |
5368
400.8 IPS |
|
|
Object Detection (I8)
|
97% |
2494
186.2 IPS |
|
|
Face Detection (F32)
|
100% |
9255
110.0 IPS |
|
|
Face Detection (F16)
|
97% |
16734
199.0 IPS |
|
|
Face Detection (I8)
|
96% |
20088
238.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
15978
123.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
46953
364.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
47809
370.8 IPS |
|
|
Style Transfer (F32)
|
100% |
33890
44.6 IPS |
|
|
Style Transfer (F16)
|
100% |
144821
190.5 IPS |
|
|
Style Transfer (I8)
|
100% |
144765
190.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9549
341.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34349
1.23 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
37563
1.34 KIPS |
|
|
Text Classification (F32)
|
100% |
2076
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3416
4.91 KIPS |
|
|
Text Classification (I8)
|
96% |
3394
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
1080
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1371
25.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1071
19.7 IPS |
