MacBook Pro (13-inch, 2022)
Geekbench ML Score
9237
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 16 2025 06:23 PM |
| Views | 2 |
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 | 3.30 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% |
1675
313.5 IPS |
|
|
Image Classification (F16)
|
100% |
9991
1.87 KIPS |
|
|
Image Classification (I8)
|
99% |
10365
1.94 KIPS |
|
|
Image Segmentation (F32)
|
100% |
994
16.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1900
31.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1637
27.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23147
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
92324
111.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
93555
113.3 IPS |
|
|
Object Detection (F32)
|
100% |
2251
168.1 IPS |
|
|
Object Detection (F16)
|
100% |
4793
357.8 IPS |
|
|
Object Detection (I8)
|
97% |
2555
190.7 IPS |
|
|
Face Detection (F32)
|
100% |
8715
103.6 IPS |
|
|
Face Detection (F16)
|
97% |
18204
216.4 IPS |
|
|
Face Detection (I8)
|
96% |
18786
223.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
10518
81.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
61351
475.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
71923
557.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40890
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
150444
197.9 IPS |
|
|
Style Transfer (I8)
|
100% |
142615
187.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8146
290.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35829
1.28 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34784
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2062
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3472
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3319
4.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
867
16.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1363
25.1 IPS |
|
|
Machine Translation (I8)
|
99% |
906
16.7 IPS |
