MacBook Pro (13-inch, 2022)
Geekbench ML Score
9634
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 01 2025 05:53 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.28 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% |
3471
649.5 IPS |
|
|
Image Classification (F16)
|
100% |
8580
1.61 KIPS |
|
|
Image Classification (I8)
|
99% |
11509
2.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1516
25.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1830
30.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1943
32.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
22980
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
88644
107.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
97254
117.8 IPS |
|
|
Object Detection (F32)
|
100% |
2904
216.8 IPS |
|
|
Object Detection (F16)
|
100% |
6032
450.3 IPS |
|
|
Object Detection (I8)
|
97% |
2488
185.8 IPS |
|
|
Face Detection (F32)
|
100% |
5921
70.4 IPS |
|
|
Face Detection (F16)
|
97% |
16704
198.6 IPS |
|
|
Face Detection (I8)
|
96% |
15903
189.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
10228
79.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
57906
449.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
66416
515.1 IPS |
|
|
Style Transfer (F32)
|
100% |
37868
49.8 IPS |
|
|
Style Transfer (F16)
|
100% |
140195
184.4 IPS |
|
|
Style Transfer (I8)
|
100% |
144590
190.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9792
349.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32983
1.18 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34561
1.23 KIPS |
|
|
Text Classification (F32)
|
100% |
2052
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3686
5.30 KIPS |
|
|
Text Classification (I8)
|
96% |
3533
5.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
952
17.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1390
25.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1096
20.2 IPS |
