MacBook Pro (13-inch, 2022)
Geekbench ML Score
9712
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 07 2025 02:29 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
3276
613.0 IPS |
|
|
Image Classification (F16)
|
100% |
11120
2.08 KIPS |
|
|
Image Classification (I8)
|
99% |
11217
2.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1524
25.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1827
30.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1649
27.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
22185
26.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
72078
87.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
80388
97.3 IPS |
|
|
Object Detection (F32)
|
100% |
2715
202.7 IPS |
|
|
Object Detection (F16)
|
100% |
4796
358.0 IPS |
|
|
Object Detection (I8)
|
97% |
2840
212.1 IPS |
|
|
Face Detection (F32)
|
100% |
8979
106.8 IPS |
|
|
Face Detection (F16)
|
97% |
20118
239.2 IPS |
|
|
Face Detection (I8)
|
96% |
20236
240.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16430
127.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
48832
378.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
47436
367.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40893
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
136521
179.6 IPS |
|
|
Style Transfer (I8)
|
100% |
148949
195.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7539
269.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34033
1.22 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33789
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
2128
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3555
5.11 KIPS |
|
|
Text Classification (I8)
|
96% |
3557
5.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
1102
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1417
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1108
20.4 IPS |
