MacBook Pro (13-inch, 2022)
Geekbench AI Score
6621
Single Precision Score
7509
Half Precision Score
6564
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Aaronage |
| Upload Date | November 14 2024 10:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3655
679.7 IPS |
|
|
Image Classification (HP)
|
100% |
3652
679.2 IPS |
|
|
Image Classification (Q)
|
97% |
3067
572.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3988
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4999
81.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5092
82.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24619
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26320
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24406
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3383
268.3 IPS |
|
|
Object Detection (HP)
|
100% |
3705
293.9 IPS |
|
|
Object Detection (Q)
|
91% |
3050
243.7 IPS |
|
|
Face Detection (SP)
|
100% |
10416
123.8 IPS |
|
|
Face Detection (HP)
|
100% |
12049
143.2 IPS |
|
|
Face Detection (Q)
|
100% |
8381
99.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16692
128.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17877
137.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
14804
115.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42733
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48502
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
45432
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9776
361.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10118
373.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7968
294.2 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3801
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3731
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
827
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
797
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
763
13.2 IPS |
