MacBook Pro (13-inch, 2022)
Geekbench ML Score
9470
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 17 2025 06:31 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 3.37 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
651.5 IPS |
|
|
Image Classification (F16)
|
100% |
10792
2.02 KIPS |
|
|
Image Classification (I8)
|
99% |
9242
1.73 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1065
17.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1579
26.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1761
29.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23046
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
94499
114.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
85237
103.2 IPS |
|
|
Object Detection (F32)
|
100% |
1723
128.6 IPS |
|
|
Object Detection (F16)
|
100% |
4884
364.6 IPS |
|
|
Object Detection (I8)
|
97% |
2882
215.2 IPS |
|
|
Face Detection (F32)
|
100% |
9104
108.2 IPS |
|
|
Face Detection (F16)
|
97% |
18019
214.2 IPS |
|
|
Face Detection (I8)
|
96% |
18660
221.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16485
127.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
53891
417.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
66094
512.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40585
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
137397
180.7 IPS |
|
|
Style Transfer (I8)
|
100% |
140227
184.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7516
268.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32702
1.17 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
31227
1.12 KIPS |
|
|
Text Classification (F32)
|
100% |
2066
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3470
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3514
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1069
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1340
24.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1084
19.9 IPS |
