MacBook Pro (13-inch, 2022)
Geekbench ML Score
9410
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 30 2025 06:26 PM |
| Views | 10 |
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 | 3.48 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% |
3526
659.8 IPS |
|
|
Image Classification (F16)
|
100% |
10310
1.93 KIPS |
|
|
Image Classification (I8)
|
99% |
12090
2.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1510
25.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1671
27.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1871
31.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
22835
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
95670
115.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
98483
119.3 IPS |
|
|
Object Detection (F32)
|
100% |
1543
115.2 IPS |
|
|
Object Detection (F16)
|
100% |
4890
365.0 IPS |
|
|
Object Detection (I8)
|
97% |
1265
94.5 IPS |
|
|
Face Detection (F32)
|
100% |
6571
78.1 IPS |
|
|
Face Detection (F16)
|
97% |
20021
238.1 IPS |
|
|
Face Detection (I8)
|
96% |
20161
239.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16268
126.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
40123
311.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
58963
457.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40693
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
145997
192.0 IPS |
|
|
Style Transfer (I8)
|
100% |
145873
191.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10098
360.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
31341
1.12 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35079
1.25 KIPS |
|
|
Text Classification (F32)
|
100% |
2116
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3686
5.30 KIPS |
|
|
Text Classification (I8)
|
96% |
3704
5.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
1018
18.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1366
25.1 IPS |
|
|
Machine Translation (I8)
|
99% |
962
17.7 IPS |
