MacBook Pro (13-inch, 2022)
Geekbench ML Score
9970
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 18 2025 04:44 PM |
| Views | 7 |
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 | 3.44 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3449
645.3 IPS |
|
|
Image Classification (F16)
|
100% |
11212
2.10 KIPS |
|
|
Image Classification (I8)
|
99% |
12466
2.33 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1283
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1832
30.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1771
29.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23394
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
95197
115.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
98000
118.7 IPS |
|
|
Object Detection (F32)
|
100% |
2838
211.9 IPS |
|
|
Object Detection (F16)
|
100% |
5689
424.7 IPS |
|
|
Object Detection (I8)
|
97% |
2818
210.4 IPS |
|
|
Face Detection (F32)
|
100% |
9111
108.3 IPS |
|
|
Face Detection (F16)
|
97% |
19996
237.8 IPS |
|
|
Face Detection (I8)
|
96% |
20122
239.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16216
125.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
54288
421.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
56862
441.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40652
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
142156
187.0 IPS |
|
|
Style Transfer (I8)
|
100% |
144529
190.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7362
262.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
36093
1.29 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
37457
1.34 KIPS |
|
|
Text Classification (F32)
|
100% |
2132
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3492
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3525
5.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
878
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1422
26.2 IPS |
|
|
Machine Translation (I8)
|
99% |
920
16.9 IPS |
