MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4438
Single Precision Score
30673
Half Precision Score
33554
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nicknick1 |
| Upload Date | February 27 2025 05:02 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1505
279.9 IPS |
|
|
Image Classification (HP)
|
100% |
15891
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
17379
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1892
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21953
355.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27016
437.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16821
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
120264
140.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
118729
139.2 IPS |
|
|
Object Detection (SP)
|
100% |
1985
157.5 IPS |
|
|
Object Detection (HP)
|
100% |
16866
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
16976
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
4113
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
38371
455.9 IPS |
|
|
Face Detection (Q)
|
100% |
49145
584.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7395
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
101447
781.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
115153
900.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30436
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
220550
283.5 IPS |
|
|
Style Transfer (Q)
|
96% |
210251
271.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5839
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37528
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50342
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2787
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4657
6.22 KIPS |
|
|
Text Classification (Q)
|
93% |
4628
6.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2072
35.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6944
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6897
119.2 IPS |
