MacBook Pro (13-inch, 2022)
Geekbench AI Score
3437
Single Precision Score
5940
Half Precision Score
4818
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | November 24 2024 10:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
2504
465.7 IPS |
|
|
Image Classification (Q)
|
96% |
1762
329.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2474
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2841
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6850
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
14866
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12882
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1536
121.8 IPS |
|
|
Object Detection (HP)
|
97% |
2850
226.9 IPS |
|
|
Object Detection (Q)
|
94% |
2053
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
3100
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6037
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3458
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5608
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11568
89.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8023
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18669
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28493
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23745
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4097
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4828
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3569
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
2228
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3747
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3695
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3513
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5796
100.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5862
101.3 IPS |
