MacBook Pro (13-inch, 2022)
Geekbench AI Score
3331
Single Precision Score
6062
Half Precision Score
4934
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | February 13 2026 07:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
2531
470.6 IPS |
|
|
Image Classification (Q)
|
96% |
1773
331.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2800
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6318
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
15053
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12969
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1440
114.2 IPS |
|
|
Object Detection (HP)
|
97% |
2874
228.8 IPS |
|
|
Object Detection (Q)
|
94% |
2083
166.0 IPS |
|
|
Face Detection (SP)
|
100% |
3078
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6101
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
3539
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5492
42.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11131
86.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7818
61.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18145
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28272
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23553
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3726
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4992
184.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3748
138.4 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3823
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3668
63.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6923
119.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6840
118.2 IPS |
