MacBook Pro (13-inch, 2022)
Geekbench ML Score
9938
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 30 2025 05:56 PM |
| Views | 8 |
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 | 3.47 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% |
3443
644.3 IPS |
|
|
Image Classification (F16)
|
100% |
10150
1.90 KIPS |
|
|
Image Classification (I8)
|
99% |
12739
2.38 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1436
24.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1877
31.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1610
26.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23186
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
94190
114.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
96768
117.2 IPS |
|
|
Object Detection (F32)
|
100% |
2841
212.1 IPS |
|
|
Object Detection (F16)
|
100% |
5714
426.6 IPS |
|
|
Object Detection (I8)
|
97% |
2818
210.3 IPS |
|
|
Face Detection (F32)
|
100% |
8276
98.4 IPS |
|
|
Face Detection (F16)
|
97% |
19960
237.3 IPS |
|
|
Face Detection (I8)
|
96% |
20374
242.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16382
127.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
49160
381.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
52174
404.6 IPS |
|
|
Style Transfer (F32)
|
100% |
41357
54.4 IPS |
|
|
Style Transfer (F16)
|
100% |
150248
197.6 IPS |
|
|
Style Transfer (I8)
|
100% |
143490
188.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8391
299.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
29193
1.04 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35303
1.26 KIPS |
|
|
Text Classification (F32)
|
100% |
2153
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3610
5.19 KIPS |
|
|
Text Classification (I8)
|
96% |
3208
4.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
1104
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1357
25.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1092
20.1 IPS |
