MacBook Pro (13-inch, 2022)
Geekbench ML Score
9838
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 11 2025 08:09 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
3576
669.2 IPS |
|
|
Image Classification (F16)
|
100% |
11638
2.18 KIPS |
|
|
Image Classification (I8)
|
99% |
12643
2.37 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1552
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1986
33.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1985
33.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
22070
26.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
86675
105.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
95605
115.8 IPS |
|
|
Object Detection (F32)
|
100% |
2774
207.1 IPS |
|
|
Object Detection (F16)
|
100% |
5282
394.3 IPS |
|
|
Object Detection (I8)
|
97% |
2860
213.5 IPS |
|
|
Face Detection (F32)
|
100% |
8338
99.1 IPS |
|
|
Face Detection (F16)
|
97% |
17450
207.5 IPS |
|
|
Face Detection (I8)
|
96% |
20619
245.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16393
127.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
50465
391.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
49935
387.2 IPS |
|
|
Style Transfer (F32)
|
100% |
26587
35.0 IPS |
|
|
Style Transfer (F16)
|
100% |
148526
195.4 IPS |
|
|
Style Transfer (I8)
|
100% |
136731
179.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7863
280.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
30714
1.10 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
37977
1.36 KIPS |
|
|
Text Classification (F32)
|
100% |
1992
2.86 KIPS |
|
|
Text Classification (F16)
|
100% |
3582
5.15 KIPS |
|
|
Text Classification (I8)
|
96% |
3396
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
1085
20.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1383
25.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1113
20.5 IPS |
