MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
17244
Single Precision Score
19484
Half Precision Score
18139
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | mrclwgnr |
| Upload Date | October 25 2025 02:05 PM |
| Views | 10 |
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% |
7569
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
8408
1.56 KIPS |
|
|
Image Classification (Q)
|
96% |
7319
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16247
263.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16850
273.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16559
268.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
64554
75.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
72039
84.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
69640
81.6 IPS |
|
|
Object Detection (SP)
|
100% |
6961
552.1 IPS |
|
|
Object Detection (HP)
|
100% |
7721
612.4 IPS |
|
|
Object Detection (Q)
|
92% |
7233
577.4 IPS |
|
|
Face Detection (SP)
|
100% |
27805
330.4 IPS |
|
|
Face Detection (HP)
|
100% |
32078
381.2 IPS |
|
|
Face Detection (Q)
|
100% |
26367
313.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
32437
249.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35049
270.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
31961
249.6 IPS |
|
|
Style Transfer (SP)
|
100% |
142288
182.9 IPS |
|
|
Style Transfer (HP)
|
100% |
159138
204.6 IPS |
|
|
Style Transfer (Q)
|
96% |
156880
202.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21428
791.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20327
750.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18095
668.2 IPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
4921
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4869
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5177
89.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5591
96.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5424
93.7 IPS |
