MacBook Pro (13-inch, 2022)
Geekbench ML Score
5801
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 10 2025 06:25 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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% |
3309
619.2 IPS |
|
|
Image Classification (F16)
|
100% |
3366
629.9 IPS |
|
|
Image Classification (I8)
|
99% |
3368
630.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1437
24.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1334
22.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1335
22.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23512
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
25120
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25227
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
2824
210.8 IPS |
|
|
Object Detection (F16)
|
100% |
2920
218.0 IPS |
|
|
Object Detection (I8)
|
97% |
2448
182.7 IPS |
|
|
Face Detection (F32)
|
100% |
8924
106.1 IPS |
|
|
Face Detection (F16)
|
98% |
10181
121.1 IPS |
|
|
Face Detection (I8)
|
97% |
10057
119.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16097
124.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
17592
136.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
16973
131.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40891
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
46875
61.7 IPS |
|
|
Style Transfer (I8)
|
100% |
46744
61.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7153
255.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7205
257.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8368
298.8 IPS |
|
|
Text Classification (F32)
|
100% |
2068
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3418
4.91 KIPS |
|
|
Text Classification (I8)
|
96% |
3389
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
876
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
908
16.7 IPS |
|
|
Machine Translation (I8)
|
99% |
861
15.8 IPS |
