MacBook Pro (13-inch, 2022)
Geekbench ML Score
9284
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 19 2025 06:35 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.29 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% |
2893
541.3 IPS |
|
|
Image Classification (F16)
|
100% |
8488
1.59 KIPS |
|
|
Image Classification (I8)
|
99% |
11437
2.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1182
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1794
30.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1818
30.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23224
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
92682
112.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
88039
106.6 IPS |
|
|
Object Detection (F32)
|
100% |
2752
205.5 IPS |
|
|
Object Detection (F16)
|
100% |
5920
442.0 IPS |
|
|
Object Detection (I8)
|
97% |
1990
148.6 IPS |
|
|
Face Detection (F32)
|
100% |
4444
52.8 IPS |
|
|
Face Detection (F16)
|
97% |
20013
238.0 IPS |
|
|
Face Detection (I8)
|
96% |
20399
242.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16226
125.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
46419
360.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
69157
536.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40808
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
145091
190.9 IPS |
|
|
Style Transfer (I8)
|
100% |
135571
178.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7226
258.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32967
1.18 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33574
1.20 KIPS |
|
|
Text Classification (F32)
|
100% |
2063
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3491
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3460
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
873
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1360
25.0 IPS |
|
|
Machine Translation (I8)
|
99% |
903
16.6 IPS |
