MacBook Pro (13-inch, 2022)
Geekbench ML Score
9858
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 09 2025 07:03 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 3.30 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% |
3482
651.7 IPS |
|
|
Image Classification (F16)
|
100% |
10431
1.95 KIPS |
|
|
Image Classification (I8)
|
99% |
11449
2.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1381
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2003
33.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
2039
34.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23571
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
93541
113.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
93794
113.6 IPS |
|
|
Object Detection (F32)
|
100% |
2779
207.5 IPS |
|
|
Object Detection (F16)
|
100% |
5581
416.7 IPS |
|
|
Object Detection (I8)
|
97% |
2391
178.5 IPS |
|
|
Face Detection (F32)
|
100% |
7358
87.5 IPS |
|
|
Face Detection (F16)
|
97% |
19744
234.8 IPS |
|
|
Face Detection (I8)
|
96% |
20201
240.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16164
125.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
52917
410.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
49827
386.4 IPS |
|
|
Style Transfer (F32)
|
100% |
41239
54.2 IPS |
|
|
Style Transfer (F16)
|
100% |
148014
194.7 IPS |
|
|
Style Transfer (I8)
|
100% |
145348
191.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6854
244.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
36402
1.30 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
37115
1.33 KIPS |
|
|
Text Classification (F32)
|
100% |
2158
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3610
5.19 KIPS |
|
|
Text Classification (I8)
|
96% |
3572
5.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
936
17.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1397
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
970
17.9 IPS |
