MacBook Pro (13-inch, 2022)
Geekbench AI Score
7119
Single Precision Score
8013
Half Precision Score
6862
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 23 2025 09:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
3668
682.1 IPS |
|
|
Image Classification (HP)
|
100% |
3627
674.4 IPS |
|
|
Image Classification (Q)
|
97% |
3016
562.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3911
63.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5019
81.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5114
82.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24549
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26312
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24489
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3660
290.3 IPS |
|
|
Object Detection (HP)
|
100% |
3706
293.9 IPS |
|
|
Object Detection (Q)
|
91% |
3048
243.6 IPS |
|
|
Face Detection (SP)
|
100% |
10454
124.2 IPS |
|
|
Face Detection (HP)
|
100% |
11959
142.1 IPS |
|
|
Face Detection (Q)
|
100% |
8263
98.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16721
128.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17881
137.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
14919
116.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42864
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48697
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
45465
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9769
360.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10094
372.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7943
293.3 IPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3747
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3734
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1587
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1561
26.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1211
20.9 IPS |
