MacBook Pro (13-inch, 2022)
Geekbench ML Score
9242
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 20 2025 07:12 PM |
| Views | 2 |
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 | 3.42 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% |
3380
632.6 IPS |
|
|
Image Classification (F16)
|
100% |
10934
2.05 KIPS |
|
|
Image Classification (I8)
|
99% |
11815
2.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1033
17.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1569
26.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1934
32.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22559
27.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
89299
108.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
96491
116.8 IPS |
|
|
Object Detection (F32)
|
100% |
2100
156.8 IPS |
|
|
Object Detection (F16)
|
100% |
5431
405.5 IPS |
|
|
Object Detection (I8)
|
97% |
2121
158.3 IPS |
|
|
Face Detection (F32)
|
100% |
7473
88.9 IPS |
|
|
Face Detection (F16)
|
97% |
16391
194.9 IPS |
|
|
Face Detection (I8)
|
96% |
19020
226.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15835
122.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
58328
452.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
62866
487.5 IPS |
|
|
Style Transfer (F32)
|
100% |
33608
44.2 IPS |
|
|
Style Transfer (F16)
|
100% |
145175
191.0 IPS |
|
|
Style Transfer (I8)
|
100% |
134574
177.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7004
250.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32815
1.17 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34350
1.23 KIPS |
|
|
Text Classification (F32)
|
100% |
2059
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3380
4.86 KIPS |
|
|
Text Classification (I8)
|
96% |
3337
4.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
867
15.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1306
24.0 IPS |
|
|
Machine Translation (I8)
|
99% |
792
14.6 IPS |
