MacBook Pro (13-inch, 2022)
Geekbench AI Score
8227
Single Precision Score
9256
Half Precision Score
8643
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | February 13 2026 07:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3773
701.7 IPS |
|
|
Image Classification (HP)
|
100% |
3762
699.6 IPS |
|
|
Image Classification (Q)
|
94% |
3546
662.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5819
94.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5968
96.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5676
92.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24735
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26768
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26005
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3627
287.7 IPS |
|
|
Object Detection (HP)
|
100% |
3791
300.7 IPS |
|
|
Object Detection (Q)
|
91% |
3639
290.9 IPS |
|
|
Face Detection (SP)
|
100% |
10846
128.9 IPS |
|
|
Face Detection (HP)
|
100% |
12694
150.8 IPS |
|
|
Face Detection (Q)
|
100% |
11501
136.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16859
129.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18204
140.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
17103
133.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42564
54.7 IPS |
|
|
Style Transfer (HP)
|
100% |
49496
63.6 IPS |
|
|
Style Transfer (Q)
|
96% |
47718
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9667
356.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10288
379.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9148
337.8 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3901
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3838
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4106
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4416
76.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3707
64.1 IPS |
