MacBook Pro (13-inch, 2022)
Geekbench AI Score
3447
Single Precision Score
5924
Half Precision Score
5196
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | iBob |
| Upload Date | August 15 2024 06:24 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1377
256.0 IPS |
|
|
Image Classification (HP)
|
100% |
2497
464.3 IPS |
|
|
Image Classification (Q)
|
99% |
2479
462.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2549
41.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2543
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6886
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14926
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12837
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (HP)
|
97% |
2865
228.1 IPS |
|
|
Object Detection (Q)
|
94% |
2066
164.7 IPS |
|
|
Face Detection (SP)
|
100% |
3093
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
5923
70.4 IPS |
|
|
Face Detection (Q)
|
100% |
3500
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5678
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11586
89.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
11550
89.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18704
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28550
36.7 IPS |
|
|
Style Transfer (Q)
|
100% |
28492
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4124
152.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4785
176.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3514
130.2 IPS |
|
|
Text Classification (SP)
|
100% |
2180
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3615
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3680
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3541
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5774
99.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5763
99.6 IPS |
