MacBook Pro (14-inch, 2023)
Geekbench AI Score
4156
Single Precision Score
6641
Half Precision Score
5260
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Quasarinho |
| Upload Date | January 21 2025 06:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
2256
419.6 IPS |
|
|
Image Classification (Q)
|
96% |
1641
306.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2576
41.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2925
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13022
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
24445
28.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
18944
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
1689
134.0 IPS |
|
|
Object Detection (HP)
|
97% |
2695
214.5 IPS |
|
|
Object Detection (Q)
|
94% |
2003
159.6 IPS |
|
|
Face Detection (SP)
|
100% |
3705
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
5748
68.3 IPS |
|
|
Face Detection (Q)
|
100% |
3410
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6407
49.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12151
93.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8112
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24671
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38470
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30128
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5055
186.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6921
255.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4443
164.0 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3979
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3963
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4392
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5895
101.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6075
105.0 IPS |
