MacBook Pro (13-inch, 2022)
Geekbench ML Score
5683
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 04 2025 06:45 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 3.01 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2835
530.5 IPS |
|
|
Image Classification (F16)
|
100% |
3046
570.0 IPS |
|
|
Image Classification (I8)
|
99% |
2882
539.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1384
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1333
22.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1334
22.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
21746
26.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
24468
29.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
24242
29.4 IPS |
|
|
Object Detection (F32)
|
100% |
2490
185.9 IPS |
|
|
Object Detection (F16)
|
100% |
2517
187.9 IPS |
|
|
Object Detection (I8)
|
97% |
2473
184.6 IPS |
|
|
Face Detection (F32)
|
100% |
8294
98.6 IPS |
|
|
Face Detection (F16)
|
98% |
9928
118.0 IPS |
|
|
Face Detection (I8)
|
97% |
9898
117.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
14993
116.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
16509
128.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
16757
130.0 IPS |
|
|
Style Transfer (F32)
|
100% |
37454
49.3 IPS |
|
|
Style Transfer (F16)
|
100% |
45084
59.3 IPS |
|
|
Style Transfer (I8)
|
100% |
45216
59.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9678
345.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9585
342.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8956
319.8 IPS |
|
|
Text Classification (F32)
|
100% |
2004
2.88 KIPS |
|
|
Text Classification (F16)
|
100% |
3426
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3058
4.39 KIPS |
|
|
Machine Translation (F32)
|
100% |
845
15.6 IPS |
|
|
Machine Translation (F16)
|
100% |
961
17.7 IPS |
|
|
Machine Translation (I8)
|
99% |
970
17.9 IPS |
