MacBook Pro (13-inch, 2022)
Geekbench ML Score
9674
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 11 2025 06:47 PM |
| Views | 10 |
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 | 3.26 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% |
3414
638.8 IPS |
|
|
Image Classification (F16)
|
100% |
10705
2.00 KIPS |
|
|
Image Classification (I8)
|
99% |
11588
2.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1084
18.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2041
34.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1533
25.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
20774
25.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
94370
114.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
96768
117.2 IPS |
|
|
Object Detection (F32)
|
100% |
2815
210.2 IPS |
|
|
Object Detection (F16)
|
100% |
6189
462.0 IPS |
|
|
Object Detection (I8)
|
97% |
2678
199.9 IPS |
|
|
Face Detection (F32)
|
100% |
9345
111.1 IPS |
|
|
Face Detection (F16)
|
97% |
20282
241.2 IPS |
|
|
Face Detection (I8)
|
96% |
16784
199.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16118
125.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
50717
393.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
54732
424.4 IPS |
|
|
Style Transfer (F32)
|
100% |
37697
49.6 IPS |
|
|
Style Transfer (F16)
|
100% |
149349
196.5 IPS |
|
|
Style Transfer (I8)
|
100% |
143409
188.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6579
235.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
36030
1.29 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35228
1.26 KIPS |
|
|
Text Classification (F32)
|
100% |
2185
3.14 KIPS |
|
|
Text Classification (F16)
|
100% |
2187
3.14 KIPS |
|
|
Text Classification (I8)
|
96% |
3569
5.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
1081
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1415
26.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1163
21.4 IPS |
