MacBook Pro (13-inch, 2022)
Geekbench ML Score
9432
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 30 2025 06:44 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 3.47 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% |
3394
635.2 IPS |
|
|
Image Classification (F16)
|
100% |
10653
1.99 KIPS |
|
|
Image Classification (I8)
|
99% |
11895
2.23 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1345
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1969
32.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2062
34.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
20948
25.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
90391
109.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
96083
116.4 IPS |
|
|
Object Detection (F32)
|
100% |
2787
208.1 IPS |
|
|
Object Detection (F16)
|
100% |
4852
362.3 IPS |
|
|
Object Detection (I8)
|
97% |
2283
170.4 IPS |
|
|
Face Detection (F32)
|
100% |
7531
89.5 IPS |
|
|
Face Detection (F16)
|
97% |
20280
241.1 IPS |
|
|
Face Detection (I8)
|
96% |
20170
239.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15768
122.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
42393
328.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
45423
352.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40527
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
140844
185.3 IPS |
|
|
Style Transfer (I8)
|
100% |
122009
160.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6459
230.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34087
1.22 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34071
1.22 KIPS |
|
|
Text Classification (F32)
|
100% |
2092
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3482
5.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3499
5.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
883
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1376
25.3 IPS |
|
|
Machine Translation (I8)
|
99% |
869
16.0 IPS |
