MacBook Pro (13-inch, 2022)
Geekbench AI Score
7804
Single Precision Score
8555
Half Precision Score
7878
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 31 2025 07:36 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3702
688.4 IPS |
|
|
Image Classification (HP)
|
100% |
3721
692.0 IPS |
|
|
Image Classification (Q)
|
96% |
3433
641.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5841
94.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5977
96.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5684
92.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24461
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26855
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26049
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3574
283.5 IPS |
|
|
Object Detection (HP)
|
100% |
3817
302.7 IPS |
|
|
Object Detection (Q)
|
92% |
3470
277.0 IPS |
|
|
Face Detection (SP)
|
100% |
10378
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
12275
145.9 IPS |
|
|
Face Detection (Q)
|
100% |
10160
120.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16843
129.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18167
140.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
16664
130.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42676
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49537
63.7 IPS |
|
|
Style Transfer (Q)
|
96% |
47673
61.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9903
365.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10329
381.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8908
328.9 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3864
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3855
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2616
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2091
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1885
32.6 IPS |
