MacBook Pro (13-inch, 2022)
Geekbench ML Score
10190
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 04 2026 07:09 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5223i) |
| 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% |
2299
430.2 IPS |
|
|
Image Classification (F16)
|
100% |
10730
2.01 KIPS |
|
|
Image Classification (I8)
|
99% |
11938
2.23 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1358
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1989
33.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1988
33.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
22915
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
94498
114.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
96371
116.7 IPS |
|
|
Object Detection (F32)
|
100% |
1752
130.8 IPS |
|
|
Object Detection (F16)
|
100% |
5427
405.2 IPS |
|
|
Object Detection (I8)
|
97% |
2799
209.0 IPS |
|
|
Face Detection (F32)
|
100% |
9510
113.1 IPS |
|
|
Face Detection (F16)
|
98% |
20461
243.3 IPS |
|
|
Face Detection (I8)
|
97% |
19900
236.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
14669
113.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
50246
389.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
51112
396.4 IPS |
|
|
Style Transfer (F32)
|
100% |
40891
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
146935
193.3 IPS |
|
|
Style Transfer (I8)
|
100% |
146917
193.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5397
192.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35806
1.28 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36117
1.29 KIPS |
|
|
Text Classification (F32)
|
100% |
3831
5.51 KIPS |
|
|
Text Classification (F16)
|
100% |
6006
8.63 KIPS |
|
|
Text Classification (I8)
|
96% |
5493
7.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
1157
21.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1400
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1091
20.1 IPS |
