MacBook Pro (13-inch, 2022)
Geekbench ML Score
5783
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 17 2026 08:58 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.5 (Build 25F5053d) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3020
565.0 IPS |
|
|
Image Classification (F16)
|
100% |
3090
578.3 IPS |
|
|
Image Classification (I8)
|
99% |
3066
573.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1323
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1122
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1344
22.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
22607
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
24805
30.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
24723
29.9 IPS |
|
|
Object Detection (F32)
|
100% |
2637
196.9 IPS |
|
|
Object Detection (F16)
|
100% |
2729
203.7 IPS |
|
|
Object Detection (I8)
|
97% |
1674
124.9 IPS |
|
|
Face Detection (F32)
|
100% |
8897
105.8 IPS |
|
|
Face Detection (F16)
|
98% |
9528
113.3 IPS |
|
|
Face Detection (I8)
|
97% |
9932
118.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
13880
107.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
15144
117.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
16286
126.3 IPS |
|
|
Style Transfer (F32)
|
100% |
34752
45.7 IPS |
|
|
Style Transfer (F16)
|
100% |
44207
58.2 IPS |
|
|
Style Transfer (I8)
|
100% |
44715
58.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5184
185.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7666
273.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6587
235.2 IPS |
|
|
Text Classification (F32)
|
100% |
3526
5.07 KIPS |
|
|
Text Classification (F16)
|
100% |
5501
7.91 KIPS |
|
|
Text Classification (I8)
|
96% |
5501
7.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
1114
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1177
21.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1060
19.5 IPS |
