MacBook Pro (13-inch, 2022)
Geekbench ML Score
9934
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 30 2025 06:13 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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% |
2253
421.5 IPS |
|
|
Image Classification (F16)
|
100% |
10633
1.99 KIPS |
|
|
Image Classification (I8)
|
99% |
11616
2.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1491
24.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1936
32.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1951
32.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23259
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
82651
100.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
96650
117.0 IPS |
|
|
Object Detection (F32)
|
100% |
2781
207.6 IPS |
|
|
Object Detection (F16)
|
100% |
5355
399.8 IPS |
|
|
Object Detection (I8)
|
97% |
2846
212.5 IPS |
|
|
Face Detection (F32)
|
100% |
9397
111.7 IPS |
|
|
Face Detection (F16)
|
97% |
20407
242.6 IPS |
|
|
Face Detection (I8)
|
96% |
20319
241.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16236
125.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
49152
381.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
70498
546.7 IPS |
|
|
Style Transfer (F32)
|
100% |
39525
52.0 IPS |
|
|
Style Transfer (F16)
|
100% |
134917
177.5 IPS |
|
|
Style Transfer (I8)
|
100% |
137005
180.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9593
342.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33916
1.21 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34987
1.25 KIPS |
|
|
Text Classification (F32)
|
100% |
1841
2.65 KIPS |
|
|
Text Classification (F16)
|
100% |
3559
5.11 KIPS |
|
|
Text Classification (I8)
|
96% |
3403
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
1081
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1407
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1077
19.8 IPS |
