MacBook Pro (13-inch, 2022)
Geekbench ML Score
9609
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 24 2025 06:33 PM |
| Views | 6 |
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 | 3.47 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% |
3547
663.7 IPS |
|
|
Image Classification (F16)
|
100% |
10757
2.01 KIPS |
|
|
Image Classification (I8)
|
99% |
11783
2.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1427
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1878
31.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1851
30.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
22954
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
92452
112.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
69071
83.6 IPS |
|
|
Object Detection (F32)
|
100% |
2782
207.7 IPS |
|
|
Object Detection (F16)
|
100% |
5468
408.2 IPS |
|
|
Object Detection (I8)
|
97% |
2787
208.1 IPS |
|
|
Face Detection (F32)
|
100% |
9391
111.7 IPS |
|
|
Face Detection (F16)
|
97% |
20350
242.0 IPS |
|
|
Face Detection (I8)
|
96% |
20367
242.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
13589
105.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
56852
440.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
50473
391.4 IPS |
|
|
Style Transfer (F32)
|
100% |
40057
52.7 IPS |
|
|
Style Transfer (F16)
|
100% |
147656
194.2 IPS |
|
|
Style Transfer (I8)
|
100% |
144973
190.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7946
283.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34195
1.22 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35948
1.28 KIPS |
|
|
Text Classification (F32)
|
100% |
2174
3.13 KIPS |
|
|
Text Classification (F16)
|
100% |
3410
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
1501
2.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
1076
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1325
24.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1083
19.9 IPS |
