MacBook Pro (13-inch, 2022)
Geekbench AI Score
3215
Single Precision Score
4770
Half Precision Score
3965
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 08:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1523
283.2 IPS |
|
|
Image Classification (HP)
|
100% |
1925
357.9 IPS |
|
|
Image Classification (Q)
|
99% |
1917
357.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1304
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6133
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
14462
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12349
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1604
127.2 IPS |
|
|
Object Detection (HP)
|
97% |
2292
182.5 IPS |
|
|
Object Detection (Q)
|
94% |
1761
140.4 IPS |
|
|
Face Detection (SP)
|
100% |
2893
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
4492
53.4 IPS |
|
|
Face Detection (Q)
|
100% |
2902
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5449
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8748
67.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
4377
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17283
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27153
34.9 IPS |
|
|
Style Transfer (Q)
|
100% |
27205
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3592
132.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4813
177.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3543
131.3 IPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3191
4.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2690
46.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4473
77.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4524
78.2 IPS |
