MacBook Pro (13-inch, 2022)
Geekbench AI Score
3302
Single Precision Score
26806
Half Precision Score
29437
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 31 2025 07:38 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1292
240.3 IPS |
|
|
Image Classification (HP)
|
100% |
14335
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
15478
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19806
321.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23822
386.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6304
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
106214
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106651
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
1416
112.3 IPS |
|
|
Object Detection (HP)
|
99% |
15672
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17516
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
34679
412.1 IPS |
|
|
Face Detection (Q)
|
100% |
44061
523.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5440
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
88587
682.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
109231
853.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18081
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205148
263.7 IPS |
|
|
Style Transfer (Q)
|
96% |
196125
253.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3723
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40400
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44471
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
2296
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3883
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3888
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3626
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4100
70.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4347
75.1 IPS |
