MacBook Pro (13-inch, 2022)
Geekbench ML Score
5794
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 05 2026 07:16 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D122) |
| 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 | 3.21 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% |
3403
636.9 IPS |
|
|
Image Classification (F16)
|
100% |
3358
628.4 IPS |
|
|
Image Classification (I8)
|
99% |
3346
626.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1326
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1101
18.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1326
22.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23193
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
25279
30.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
25210
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
2657
198.3 IPS |
|
|
Object Detection (F16)
|
100% |
2791
208.4 IPS |
|
|
Object Detection (I8)
|
97% |
2309
172.4 IPS |
|
|
Face Detection (F32)
|
100% |
9304
110.6 IPS |
|
|
Face Detection (F16)
|
98% |
10780
128.2 IPS |
|
|
Face Detection (I8)
|
97% |
10881
129.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16418
127.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
18034
139.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
18053
140.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40512
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47543
62.5 IPS |
|
|
Style Transfer (I8)
|
100% |
44314
58.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9135
326.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8614
307.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6834
244.1 IPS |
|
|
Text Classification (F32)
|
100% |
1781
2.56 KIPS |
|
|
Text Classification (F16)
|
100% |
2857
4.11 KIPS |
|
|
Text Classification (I8)
|
96% |
3031
4.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
1036
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1079
19.9 IPS |
|
|
Machine Translation (I8)
|
99% |
901
16.6 IPS |
