MacBook Pro (13-inch, 2022)
Geekbench ML Score
10092
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 14 2025 06:41 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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 | 3.44 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% |
3088
577.8 IPS |
|
|
Image Classification (F16)
|
100% |
10533
1.97 KIPS |
|
|
Image Classification (I8)
|
99% |
11478
2.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1560
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2020
33.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1920
32.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23324
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
94571
114.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
96953
117.4 IPS |
|
|
Object Detection (F32)
|
100% |
2803
209.2 IPS |
|
|
Object Detection (F16)
|
100% |
5300
395.7 IPS |
|
|
Object Detection (I8)
|
97% |
2681
200.1 IPS |
|
|
Face Detection (F32)
|
100% |
9339
111.0 IPS |
|
|
Face Detection (F16)
|
97% |
20236
240.6 IPS |
|
|
Face Detection (I8)
|
96% |
20258
240.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16463
127.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
47001
364.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
50790
393.9 IPS |
|
|
Style Transfer (F32)
|
100% |
39214
51.6 IPS |
|
|
Style Transfer (F16)
|
100% |
151018
198.7 IPS |
|
|
Style Transfer (I8)
|
100% |
143642
188.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8943
319.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35697
1.27 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34818
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2155
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3607
5.18 KIPS |
|
|
Text Classification (I8)
|
96% |
3573
5.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
1110
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1403
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1115
20.5 IPS |
