MacBook Pro (13-inch, 2022)
Geekbench ML Score
9503
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 18 2025 07:19 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.48 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% |
3372
631.0 IPS |
|
|
Image Classification (F16)
|
100% |
11335
2.12 KIPS |
|
|
Image Classification (I8)
|
99% |
12199
2.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1215
20.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1805
30.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1850
30.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
21142
25.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
93600
113.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
91137
110.4 IPS |
|
|
Object Detection (F32)
|
100% |
2636
196.8 IPS |
|
|
Object Detection (F16)
|
100% |
4900
365.8 IPS |
|
|
Object Detection (I8)
|
97% |
2891
215.8 IPS |
|
|
Face Detection (F32)
|
100% |
9431
112.1 IPS |
|
|
Face Detection (F16)
|
97% |
19576
232.8 IPS |
|
|
Face Detection (I8)
|
96% |
20575
244.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16430
127.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
56254
436.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
67750
525.4 IPS |
|
|
Style Transfer (F32)
|
100% |
41009
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
136799
179.9 IPS |
|
|
Style Transfer (I8)
|
100% |
105166
138.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9110
325.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32613
1.16 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
29951
1.07 KIPS |
|
|
Text Classification (F32)
|
100% |
1724
2.48 KIPS |
|
|
Text Classification (F16)
|
100% |
2997
4.31 KIPS |
|
|
Text Classification (I8)
|
96% |
3006
4.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
806
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1320
24.3 IPS |
|
|
Machine Translation (I8)
|
99% |
825
15.2 IPS |
