MacBook Pro (13-inch, 2022)
Geekbench ML Score
9606
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 02 2025 07:08 PM |
| Views | 4 |
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 | 3.46 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% |
3420
639.9 IPS |
|
|
Image Classification (F16)
|
100% |
10212
1.91 KIPS |
|
|
Image Classification (I8)
|
99% |
11533
2.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1284
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1900
31.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1869
31.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23274
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
88436
107.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
90752
109.9 IPS |
|
|
Object Detection (F32)
|
100% |
1669
124.6 IPS |
|
|
Object Detection (F16)
|
100% |
5353
399.6 IPS |
|
|
Object Detection (I8)
|
97% |
2804
209.3 IPS |
|
|
Face Detection (F32)
|
100% |
9178
109.1 IPS |
|
|
Face Detection (F16)
|
97% |
19058
226.6 IPS |
|
|
Face Detection (I8)
|
96% |
20384
242.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15612
121.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
47299
366.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
53882
417.9 IPS |
|
|
Style Transfer (F32)
|
100% |
36155
47.6 IPS |
|
|
Style Transfer (F16)
|
100% |
149965
197.3 IPS |
|
|
Style Transfer (I8)
|
100% |
143603
188.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8376
299.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33437
1.19 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34253
1.22 KIPS |
|
|
Text Classification (F32)
|
100% |
2107
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3459
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
3426
4.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
924
17.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1403
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1018
18.7 IPS |
