MacBook Pro (13-inch, 2022)
Geekbench ML Score
5003
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 21 2024 08:34 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3499
654.7 IPS |
|
|
Image Classification (F16)
|
100% |
3409
637.9 IPS |
|
|
Image Classification (I8)
|
99% |
3021
565.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1423
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1428
23.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1368
22.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23470
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25117
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
24305
29.4 IPS |
|
|
Object Detection (F32)
|
100% |
2863
213.7 IPS |
|
|
Object Detection (F16)
|
100% |
2879
214.9 IPS |
|
|
Object Detection (I8)
|
97% |
2615
195.2 IPS |
|
|
Face Detection (F32)
|
100% |
9434
112.2 IPS |
|
|
Face Detection (F16)
|
97% |
10476
124.6 IPS |
|
|
Face Detection (I8)
|
96% |
9998
118.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16304
126.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17759
137.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
16224
125.8 IPS |
|
|
Style Transfer (F32)
|
100% |
41278
54.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47085
61.9 IPS |
|
|
Style Transfer (I8)
|
100% |
46652
61.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9500
339.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6845
244.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7132
254.7 IPS |
|
|
Text Classification (F32)
|
100% |
1013
1.46 KIPS |
|
|
Text Classification (F16)
|
100% |
719
1.03 KIPS |
|
|
Text Classification (I8)
|
96% |
721
1.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
675
12.4 IPS |
|
|
Machine Translation (F16)
|
100% |
687
12.6 IPS |
|
|
Machine Translation (I8)
|
99% |
645
11.9 IPS |
