MacBook Pro (13-inch, 2022)
Geekbench ML Score
10215
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 12 2025 07:27 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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 | 3.48 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% |
3444
644.4 IPS |
|
|
Image Classification (F16)
|
100% |
10398
1.95 KIPS |
|
|
Image Classification (I8)
|
99% |
11300
2.11 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1612
26.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1974
33.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1956
32.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23178
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
94481
114.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
95880
116.1 IPS |
|
|
Object Detection (F32)
|
100% |
2799
209.0 IPS |
|
|
Object Detection (F16)
|
100% |
5302
395.8 IPS |
|
|
Object Detection (I8)
|
97% |
2820
210.5 IPS |
|
|
Face Detection (F32)
|
100% |
9464
112.5 IPS |
|
|
Face Detection (F16)
|
97% |
20285
241.2 IPS |
|
|
Face Detection (I8)
|
96% |
20337
241.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16108
124.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
56491
438.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
50811
394.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40593
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
149175
196.2 IPS |
|
|
Style Transfer (I8)
|
100% |
150673
198.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9786
349.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35001
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35582
1.27 KIPS |
|
|
Text Classification (F32)
|
100% |
2080
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3525
5.07 KIPS |
|
|
Text Classification (I8)
|
96% |
3497
5.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1087
20.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1400
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1093
20.1 IPS |
