MacBook Pro (13-inch, 2022)
Geekbench AI Score
6588
Single Precision Score
7422
Half Precision Score
6512
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 17 2025 03:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
3649
678.6 IPS |
|
|
Image Classification (HP)
|
100% |
3613
671.8 IPS |
|
|
Image Classification (Q)
|
97% |
2992
558.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3918
63.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5014
81.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5122
83.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24425
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26284
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24493
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3361
266.6 IPS |
|
|
Object Detection (HP)
|
100% |
3709
294.2 IPS |
|
|
Object Detection (Q)
|
91% |
3062
244.6 IPS |
|
|
Face Detection (SP)
|
100% |
10292
122.3 IPS |
|
|
Face Detection (HP)
|
100% |
11985
142.4 IPS |
|
|
Face Detection (Q)
|
100% |
8399
99.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16746
129.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17851
137.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
14864
116.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42852
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48638
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
45462
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9835
363.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10113
373.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8040
296.9 IPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3802
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3702
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
707
12.2 IPS |
