MacBook Pro (13-inch, 2022)
Geekbench ML Score
9665
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 22 2025 07:41 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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% |
2964
554.6 IPS |
|
|
Image Classification (F16)
|
100% |
10884
2.04 KIPS |
|
|
Image Classification (I8)
|
99% |
11539
2.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1341
22.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1933
32.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2028
33.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
21208
25.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
94023
113.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
95774
116.0 IPS |
|
|
Object Detection (F32)
|
100% |
2523
188.3 IPS |
|
|
Object Detection (F16)
|
100% |
5787
432.0 IPS |
|
|
Object Detection (I8)
|
97% |
2449
182.8 IPS |
|
|
Face Detection (F32)
|
100% |
9361
111.3 IPS |
|
|
Face Detection (F16)
|
97% |
19661
233.8 IPS |
|
|
Face Detection (I8)
|
96% |
20216
240.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15975
123.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
52798
409.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
47556
368.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40386
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
144087
189.5 IPS |
|
|
Style Transfer (I8)
|
100% |
135395
178.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8620
307.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33044
1.18 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34723
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2045
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3396
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3454
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
834
15.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1381
25.4 IPS |
|
|
Machine Translation (I8)
|
99% |
839
15.4 IPS |
