MacBook Pro (13-inch, 2022)
Geekbench ML Score
9388
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 17 2025 06:12 PM |
| Views | 4 |
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 | 3.45 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% |
3002
561.8 IPS |
|
|
Image Classification (F16)
|
100% |
9307
1.74 KIPS |
|
|
Image Classification (I8)
|
99% |
9169
1.72 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1114
18.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2022
33.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1958
32.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22981
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
94527
114.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
68088
82.5 IPS |
|
|
Object Detection (F32)
|
100% |
1808
135.0 IPS |
|
|
Object Detection (F16)
|
100% |
5335
398.3 IPS |
|
|
Object Detection (I8)
|
97% |
2859
213.4 IPS |
|
|
Face Detection (F32)
|
100% |
8929
106.2 IPS |
|
|
Face Detection (F16)
|
97% |
19975
237.5 IPS |
|
|
Face Detection (I8)
|
96% |
19089
227.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16014
124.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
44204
342.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
44004
341.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40288
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
149076
196.1 IPS |
|
|
Style Transfer (I8)
|
100% |
136302
179.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9462
337.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
31740
1.13 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36421
1.30 KIPS |
|
|
Text Classification (F32)
|
100% |
2051
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3322
4.77 KIPS |
|
|
Text Classification (I8)
|
96% |
3348
4.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
1072
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1354
24.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1038
19.1 IPS |
