MacBook Pro (13-inch, 2022)
Geekbench AI Score
2042
Single Precision Score
2205
Half Precision Score
1285
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 14 2024 02:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.1.1 (Build 23B81) |
| 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 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1116
207.5 IPS |
|
|
Image Classification (HP)
|
100% |
1076
200.1 IPS |
|
|
Image Classification (Q)
|
97% |
432
80.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
632
10.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
547
8.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
5896
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
11816
13.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
6240
7.31 IPS |
|
|
Object Detection (SP)
|
100% |
1196
94.8 IPS |
|
|
Object Detection (HP)
|
98% |
1241
98.7 IPS |
|
|
Object Detection (Q)
|
94% |
534
42.6 IPS |
|
|
Face Detection (SP)
|
100% |
2004
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
1866
22.2 IPS |
|
|
Face Detection (Q)
|
100% |
668
7.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
3411
26.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4175
32.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
1937
15.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10986
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12987
16.7 IPS |
|
|
Style Transfer (Q)
|
96% |
7858
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2981
110.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2264
83.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1117
41.3 IPS |
|
|
Text Classification (SP)
|
100% |
662
883.2 IPS |
|
|
Text Classification (HP)
|
100% |
579
773.0 IPS |
|
|
Text Classification (Q)
|
93% |
687
921.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1532
26.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2058
35.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2005
34.6 IPS |
