MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
17154
Single Precision Score
19275
Half Precision Score
17157
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | December 23 2025 10:35 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
7483
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
8129
1.51 KIPS |
|
|
Image Classification (Q)
|
96% |
7101
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16088
260.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16888
273.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16361
265.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
64145
74.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
72246
84.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
69469
81.4 IPS |
|
|
Object Detection (SP)
|
100% |
7029
557.5 IPS |
|
|
Object Detection (HP)
|
100% |
7453
591.2 IPS |
|
|
Object Detection (Q)
|
92% |
7302
582.9 IPS |
|
|
Face Detection (SP)
|
100% |
27510
326.9 IPS |
|
|
Face Detection (HP)
|
100% |
32329
384.1 IPS |
|
|
Face Detection (Q)
|
100% |
26620
316.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
32554
250.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
34981
269.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
31838
248.7 IPS |
|
|
Style Transfer (SP)
|
100% |
141813
182.3 IPS |
|
|
Style Transfer (HP)
|
100% |
159684
205.3 IPS |
|
|
Style Transfer (Q)
|
96% |
156599
202.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20960
773.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20097
742.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18207
672.3 IPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
4917
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4908
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5159
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5368
92.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3163
54.7 IPS |
