MacBook Pro (13-inch, 2022)
Geekbench ML Score
6073
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 02 2025 07:04 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 3.48 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% |
3400
636.2 IPS |
|
|
Image Classification (F16)
|
100% |
3511
656.9 IPS |
|
|
Image Classification (I8)
|
99% |
3534
661.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1291
21.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1429
23.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1423
23.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23245
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
25215
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
25283
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2754
205.6 IPS |
|
|
Object Detection (F16)
|
100% |
2852
212.9 IPS |
|
|
Object Detection (I8)
|
97% |
2743
204.8 IPS |
|
|
Face Detection (F32)
|
100% |
9054
107.7 IPS |
|
|
Face Detection (F16)
|
98% |
10463
124.4 IPS |
|
|
Face Detection (I8)
|
97% |
10743
127.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16453
127.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
18098
140.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
18111
140.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40314
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47786
62.9 IPS |
|
|
Style Transfer (I8)
|
100% |
47418
62.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7882
281.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7642
272.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9416
336.3 IPS |
|
|
Text Classification (F32)
|
100% |
2076
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3478
5.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3477
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1072
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1077
19.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1093
20.1 IPS |
