MacBook Pro (13-inch, 2022)
Geekbench ML Score
9418
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 13 2025 06:44 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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% |
1861
348.2 IPS |
|
|
Image Classification (F16)
|
100% |
8146
1.52 KIPS |
|
|
Image Classification (I8)
|
99% |
10522
1.97 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1290
21.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2004
33.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1978
33.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23394
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
93248
112.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
90769
109.9 IPS |
|
|
Object Detection (F32)
|
100% |
2386
178.1 IPS |
|
|
Object Detection (F16)
|
100% |
5268
393.3 IPS |
|
|
Object Detection (I8)
|
97% |
2086
155.7 IPS |
|
|
Face Detection (F32)
|
100% |
9242
109.9 IPS |
|
|
Face Detection (F16)
|
97% |
19489
231.7 IPS |
|
|
Face Detection (I8)
|
96% |
20367
242.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
14942
115.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
49534
384.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
53338
413.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40750
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
145640
191.6 IPS |
|
|
Style Transfer (I8)
|
100% |
148654
195.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9768
348.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35336
1.26 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34100
1.22 KIPS |
|
|
Text Classification (F32)
|
100% |
2057
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3440
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3372
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
881
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1386
25.5 IPS |
|
|
Machine Translation (I8)
|
99% |
894
16.5 IPS |
