MacBook Pro (13-inch, 2022)
Geekbench ML Score
9377
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 13 2025 03:24 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5057f) |
| 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% |
3359
628.6 IPS |
|
|
Image Classification (F16)
|
100% |
10572
1.98 KIPS |
|
|
Image Classification (I8)
|
99% |
11696
2.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1394
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2033
34.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1687
28.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23552
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
94491
114.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
94266
114.2 IPS |
|
|
Object Detection (F32)
|
100% |
1599
119.4 IPS |
|
|
Object Detection (F16)
|
100% |
5035
375.9 IPS |
|
|
Object Detection (I8)
|
97% |
2095
156.4 IPS |
|
|
Face Detection (F32)
|
100% |
9466
112.5 IPS |
|
|
Face Detection (F16)
|
97% |
19679
234.0 IPS |
|
|
Face Detection (I8)
|
96% |
20364
242.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16030
124.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
49179
381.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
53343
413.7 IPS |
|
|
Style Transfer (F32)
|
100% |
41006
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
145606
191.5 IPS |
|
|
Style Transfer (I8)
|
100% |
150511
198.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7090
253.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34654
1.24 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34498
1.23 KIPS |
|
|
Text Classification (F32)
|
100% |
2113
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3423
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3448
4.95 KIPS |
|
|
Machine Translation (F32)
|
0% |
721
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1409
25.9 IPS |
|
|
Machine Translation (I8)
|
0% |
672
12.4 IPS |
