MacBook Pro (14-inch, 2023)
Geekbench AI Score
4161
Single Precision Score
6716
Half Precision Score
5715
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tntoak |
| Upload Date | August 16 2024 04:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
2262
420.6 IPS |
|
|
Image Classification (Q)
|
99% |
2268
423.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1727
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2634
42.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
2644
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12961
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24555
28.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
18591
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
1699
134.7 IPS |
|
|
Object Detection (HP)
|
97% |
2724
216.8 IPS |
|
|
Object Detection (Q)
|
94% |
2022
161.1 IPS |
|
|
Face Detection (SP)
|
100% |
3511
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6028
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3426
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6309
48.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12232
94.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
11899
92.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24843
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38253
49.2 IPS |
|
|
Style Transfer (Q)
|
100% |
38433
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5064
187.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6920
255.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4377
162.2 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3831
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3864
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4625
79.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6266
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6229
107.6 IPS |
