MacBook Pro (13-inch, 2022)
Geekbench ML Score
9589
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 26 2025 06:59 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.46 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% |
3451
645.8 IPS |
|
|
Image Classification (F16)
|
100% |
11095
2.08 KIPS |
|
|
Image Classification (I8)
|
99% |
12017
2.25 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1051
17.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1901
31.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1996
33.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22724
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
94691
114.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
84706
102.6 IPS |
|
|
Object Detection (F32)
|
100% |
2224
166.0 IPS |
|
|
Object Detection (F16)
|
100% |
5618
419.4 IPS |
|
|
Object Detection (I8)
|
97% |
2683
200.3 IPS |
|
|
Face Detection (F32)
|
100% |
9345
111.1 IPS |
|
|
Face Detection (F16)
|
97% |
17206
204.6 IPS |
|
|
Face Detection (I8)
|
96% |
19491
231.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15999
124.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
44873
348.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
49638
384.9 IPS |
|
|
Style Transfer (F32)
|
100% |
34178
45.0 IPS |
|
|
Style Transfer (F16)
|
100% |
144390
189.9 IPS |
|
|
Style Transfer (I8)
|
100% |
148391
195.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7764
277.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33874
1.21 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35594
1.27 KIPS |
|
|
Text Classification (F32)
|
100% |
2179
3.13 KIPS |
|
|
Text Classification (F16)
|
100% |
3378
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3402
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
1009
18.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1399
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
938
17.3 IPS |
