MacBook Pro (14-inch, 2023)
Geekbench AI Score
4212
Single Precision Score
6768
Half Precision Score
5325
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Wadsworth |
| Upload Date | February 27 2025 12:51 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
2253
419.1 IPS |
|
|
Image Classification (Q)
|
96% |
1656
309.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1714
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2579
41.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2961
48.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13074
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
25084
29.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
19056
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
1715
136.0 IPS |
|
|
Object Detection (HP)
|
97% |
2722
216.7 IPS |
|
|
Object Detection (Q)
|
94% |
2023
161.3 IPS |
|
|
Face Detection (SP)
|
100% |
3657
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
6054
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3439
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6388
49.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12371
95.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8254
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25315
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39146
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29838
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5102
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6973
257.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4518
166.8 IPS |
|
|
Text Classification (SP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3983
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3993
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4634
79.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6245
107.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6357
109.9 IPS |
