MacBook Pro (13-inch, 2022)
Geekbench ML Score
9419
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 23 2025 07:12 PM |
| Views | 8 |
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 | 3.44 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% |
3255
609.0 IPS |
|
|
Image Classification (F16)
|
100% |
10652
1.99 KIPS |
|
|
Image Classification (I8)
|
99% |
11670
2.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1414
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1798
30.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1998
33.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23544
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
88943
107.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
96250
116.6 IPS |
|
|
Object Detection (F32)
|
100% |
2782
207.7 IPS |
|
|
Object Detection (F16)
|
100% |
4927
367.8 IPS |
|
|
Object Detection (I8)
|
97% |
1667
124.4 IPS |
|
|
Face Detection (F32)
|
100% |
4995
59.4 IPS |
|
|
Face Detection (F16)
|
97% |
17221
204.8 IPS |
|
|
Face Detection (I8)
|
96% |
20188
240.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16351
126.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
61936
480.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
43979
341.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40857
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
132825
174.7 IPS |
|
|
Style Transfer (I8)
|
100% |
145417
191.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7994
285.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35714
1.28 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35091
1.25 KIPS |
|
|
Text Classification (F32)
|
100% |
2103
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3456
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
3448
4.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
913
16.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1400
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
896
16.5 IPS |
