MacBook Pro (13-inch, 2022)
Geekbench AI Score
3304
Single Precision Score
27176
Half Precision Score
29826
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | November 14 2025 05:54 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1294
240.6 IPS |
|
|
Image Classification (HP)
|
100% |
15017
2.79 KIPS |
|
|
Image Classification (Q)
|
96% |
15360
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19772
320.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23945
388.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6297
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
105706
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105854
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
1409
111.8 IPS |
|
|
Object Detection (HP)
|
99% |
15825
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17819
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
34478
409.7 IPS |
|
|
Face Detection (Q)
|
100% |
44393
527.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5465
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87481
674.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
107107
837.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18095
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201201
258.6 IPS |
|
|
Style Transfer (Q)
|
96% |
192642
248.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3730
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43411
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50601
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
4033
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3975
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3605
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4164
71.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4360
75.3 IPS |
