MacBook Pro (13-inch, 2022)
Geekbench AI Score
3332
Single Precision Score
26697
Half Precision Score
29153
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | February 13 2026 07:24 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
14649
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
15716
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19820
321.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23812
386.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6295
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
103983
121.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
106047
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.4 IPS |
|
|
Object Detection (HP)
|
99% |
15818
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
16889
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
34800
413.5 IPS |
|
|
Face Detection (Q)
|
100% |
43774
520.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5455
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87556
674.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
110982
867.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18156
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203233
261.3 IPS |
|
|
Style Transfer (Q)
|
96% |
194374
250.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3762
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38653
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41813
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3869
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3838
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3645
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4159
71.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4366
75.4 IPS |
