MacBook Pro (13-inch, 2022)
Geekbench AI Score
7480
Single Precision Score
8548
Half Precision Score
7851
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | May 25 2025 04:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
3660
680.6 IPS |
|
|
Image Classification (HP)
|
100% |
3656
679.8 IPS |
|
|
Image Classification (Q)
|
96% |
3417
638.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5681
92.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5872
95.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5577
90.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24446
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26717
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
25914
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3608
286.2 IPS |
|
|
Object Detection (HP)
|
100% |
3802
301.6 IPS |
|
|
Object Detection (Q)
|
92% |
3405
271.8 IPS |
|
|
Face Detection (SP)
|
100% |
10325
122.7 IPS |
|
|
Face Detection (HP)
|
100% |
12000
142.6 IPS |
|
|
Face Detection (Q)
|
100% |
9982
118.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16541
127.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18146
139.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
16600
129.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42292
54.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49195
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
47735
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9754
360.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10440
385.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8981
331.6 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3939
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3926
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1847
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2170
37.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1899
32.8 IPS |
