MacBook Pro (13-inch, 2022)
Geekbench ML Score
9943
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 10 2025 06:18 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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 | 3.12 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% |
3534
661.3 IPS |
|
|
Image Classification (F16)
|
100% |
10084
1.89 KIPS |
|
|
Image Classification (I8)
|
99% |
12600
2.36 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1349
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1939
32.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1932
32.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22854
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
89049
107.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
92007
111.4 IPS |
|
|
Object Detection (F32)
|
100% |
2869
214.2 IPS |
|
|
Object Detection (F16)
|
100% |
5190
387.4 IPS |
|
|
Object Detection (I8)
|
97% |
2484
185.4 IPS |
|
|
Face Detection (F32)
|
100% |
9439
112.2 IPS |
|
|
Face Detection (F16)
|
97% |
19553
232.5 IPS |
|
|
Face Detection (I8)
|
96% |
20375
242.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16214
125.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
48143
373.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
61578
477.5 IPS |
|
|
Style Transfer (F32)
|
100% |
41052
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
139059
182.9 IPS |
|
|
Style Transfer (I8)
|
100% |
128439
169.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7753
276.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33254
1.19 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35599
1.27 KIPS |
|
|
Text Classification (F32)
|
100% |
2168
3.12 KIPS |
|
|
Text Classification (F16)
|
100% |
3544
5.09 KIPS |
|
|
Text Classification (I8)
|
96% |
3653
5.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
1014
18.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1389
25.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1116
20.5 IPS |
