MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
16093
Single Precision Score
18312
Half Precision Score
17550
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | fhlipzero |
| Upload Date | October 20 2025 01:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
7443
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
8399
1.56 KIPS |
|
|
Image Classification (Q)
|
96% |
7481
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15843
256.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17009
275.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16740
271.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
64048
74.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
72065
84.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
69280
81.1 IPS |
|
|
Object Detection (SP)
|
100% |
7051
559.3 IPS |
|
|
Object Detection (HP)
|
100% |
7384
585.7 IPS |
|
|
Object Detection (Q)
|
92% |
7123
568.6 IPS |
|
|
Face Detection (SP)
|
100% |
27328
324.7 IPS |
|
|
Face Detection (HP)
|
100% |
32847
390.3 IPS |
|
|
Face Detection (Q)
|
100% |
26661
316.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
32713
252.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35080
270.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
32063
250.4 IPS |
|
|
Style Transfer (SP)
|
100% |
144545
185.8 IPS |
|
|
Style Transfer (HP)
|
100% |
164243
211.1 IPS |
|
|
Style Transfer (Q)
|
96% |
156250
201.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21901
808.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22698
838.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19401
716.4 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
99% |
5024
6.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4966
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2636
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2585
44.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3486
60.2 IPS |
