MacBook Pro (13-inch, 2022)
Geekbench ML Score
9780
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 08 2025 04:14 PM |
| Views | 8 |
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 | 3.31 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% |
2145
401.4 IPS |
|
|
Image Classification (F16)
|
100% |
10655
1.99 KIPS |
|
|
Image Classification (I8)
|
99% |
11749
2.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1505
25.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2002
33.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1992
33.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22765
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
94358
114.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
96888
117.3 IPS |
|
|
Object Detection (F32)
|
100% |
2676
199.8 IPS |
|
|
Object Detection (F16)
|
100% |
5509
411.3 IPS |
|
|
Object Detection (I8)
|
97% |
1911
142.6 IPS |
|
|
Face Detection (F32)
|
100% |
9276
110.3 IPS |
|
|
Face Detection (F16)
|
97% |
20224
240.5 IPS |
|
|
Face Detection (I8)
|
96% |
15531
184.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16260
126.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
48766
378.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
72728
564.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40446
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
149618
196.8 IPS |
|
|
Style Transfer (I8)
|
100% |
145335
191.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9416
336.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35105
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
37260
1.33 KIPS |
|
|
Text Classification (F32)
|
100% |
1589
2.28 KIPS |
|
|
Text Classification (F16)
|
100% |
3440
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3391
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
1070
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1393
25.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1083
19.9 IPS |
