MacBook Pro (13-inch, 2022)
Geekbench ML Score
9900
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 31 2025 03:24 PM |
| Views | 14 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 2.81 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% |
2093
391.6 IPS |
|
|
Image Classification (F16)
|
100% |
10753
2.01 KIPS |
|
|
Image Classification (I8)
|
99% |
12007
2.25 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1579
26.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1945
32.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1985
33.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
22642
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
94969
115.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
96949
117.4 IPS |
|
|
Object Detection (F32)
|
100% |
2636
196.8 IPS |
|
|
Object Detection (F16)
|
100% |
4693
350.4 IPS |
|
|
Object Detection (I8)
|
97% |
2705
201.9 IPS |
|
|
Face Detection (F32)
|
100% |
9394
111.7 IPS |
|
|
Face Detection (F16)
|
97% |
16267
193.4 IPS |
|
|
Face Detection (I8)
|
96% |
19394
230.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16057
124.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
52751
409.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
49448
383.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40460
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
143188
188.4 IPS |
|
|
Style Transfer (I8)
|
100% |
150814
198.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9958
355.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
36115
1.29 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36372
1.30 KIPS |
|
|
Text Classification (F32)
|
100% |
2077
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3459
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
3562
5.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
1119
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1392
25.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1140
21.0 IPS |
