MacBook Pro (13-inch, 2022)
Geekbench AI Score
7517
Single Precision Score
8463
Half Precision Score
7861
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Origem |
| Upload Date | November 26 2025 09:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3702
688.5 IPS |
|
|
Image Classification (HP)
|
100% |
3709
689.7 IPS |
|
|
Image Classification (Q)
|
96% |
3379
631.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5773
93.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5945
96.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5677
92.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24703
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26966
31.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
26064
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3559
282.3 IPS |
|
|
Object Detection (HP)
|
100% |
3645
289.1 IPS |
|
|
Object Detection (Q)
|
92% |
3477
277.6 IPS |
|
|
Face Detection (SP)
|
100% |
10427
123.9 IPS |
|
|
Face Detection (HP)
|
100% |
12174
144.7 IPS |
|
|
Face Detection (Q)
|
100% |
10104
120.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16830
129.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18193
140.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
16641
130.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42087
54.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49166
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
47700
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9840
363.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10271
379.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8852
326.9 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3907
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3855
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1833
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1992
34.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1896
32.8 IPS |
